All you need to know about model predictive control for buildings
暂无分享,去创建一个
Michael Wetter | Javier Arroyo | Krzysztof Arendt | David H. Blum | Lieve Helsen | Juraj Oravec | Donghun Kim | Draguna L. Vrabie | Jan Drgona | Enric Perarnau Ollé | Iago Cupeiro Figueroa | David Blum | D. Vrabie | M. Wetter | L. Helsen | K. Arendt | Donghun Kim | Ján Drgoňa | I. Figueroa | J. Oravec | J. Arroyo
[1] James E. Braun,et al. Comparative evaluation of model predictive control strategies for a building HVAC system , 2013, 2013 American Control Conference.
[2] Anastasios I. Dounis,et al. Advanced control systems engineering for energy and comfort management in a building environment--A review , 2009 .
[3] Zheng O'Neill,et al. MODEL-BASED THERMAL LOAD ESTIMATION IN BUILDINGS , 2010 .
[4] Manfred Morari,et al. Robust constrained model predictive control using linear matrix inequalities , 1994, Proceedings of 1994 American Control Conference - ACC '94.
[5] B. Moor,et al. Subspace identification for linear systems , 1996 .
[6] Clara Verhelst,et al. Building models for model predictive control of office buildings with concrete core activation , 2013 .
[7] Shengwei Wang,et al. Robust Model Predictive Control of VAV Air-Handling Units Concerning Uncertainties and Constraints , 2010 .
[8] Javier Arroyo,et al. A Python-Based Toolbox for Model Predictive Control Applied to Buildings , 2018 .
[9] Frauke Oldewurtel,et al. Experimental analysis of model predictive control for an energy efficient building heating system , 2011 .
[10] Mauro Gamberi,et al. Motion Analysis System for the digitalization and assessment of manual manufacturing and assembly processes , 2018 .
[11] Diana Enescu,et al. A review of thermal comfort models and indicators for indoor environments , 2017 .
[12] Truong Nghiem,et al. MLE+: a tool for integrated design and deployment of energy efficient building controls , 2012, SIGBED.
[13] S. Joe Qin,et al. Application of economic MPC to the energy and demand minimization of a commercial building , 2014 .
[14] M. Jamshidi. Large-Scale Systems: Modeling, Control and Fuzzy Logic , 1996 .
[15] Frank Allgöwer,et al. Constraint-Tightening and Stability in Stochastic Model Predictive Control , 2015, IEEE Transactions on Automatic Control.
[16] Romain Bourdais,et al. From hybrid model predictive control to logical control for shading system: A support vector machine approach , 2014 .
[17] Zhenjun Ma,et al. Supervisory and Optimal Control of Building HVAC Systems: A Review , 2008 .
[18] S. Shankar Sastry,et al. Provably safe and robust learning-based model predictive control , 2011, Autom..
[19] Michael Baldea,et al. Nonlinear model reduction and model predictive control of residential buildings with energy recovery , 2014 .
[20] Miroslav Fikar,et al. Soft-Constrained Alternative Robust MPC: Experimental Study , 2017 .
[21] Damien Picard,et al. Towards real MPC implementation in an office building using TACO , 2018 .
[22] Rahul Mangharam,et al. Data predictive control using regression trees and ensemble learning , 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).
[23] Manfred Morari,et al. Robust Adaptive Model Predictive Building Climate Control , 2017 .
[24] Romain Bourdais,et al. Optimal control of shading system using Hybrid Model Predictive control , 2014, 2014 European Control Conference (ECC).
[25] Henrik Madsen,et al. Estimation of continuous-time models for the heat dynamics of a building , 1995 .
[26] Gm. Shafiullah,et al. Modeling techniques used in building HVAC control systems: A review , 2017 .
[27] Alberto Sangiovanni-Vincentelli,et al. Building Efficiency and Sustainability in the Tropics ( SinBerBEST ) Title Online Simultaneous State Estimation and Parameter Adaptation for Building Predictive , 2013 .
[28] Jlm Jan Hensen,et al. Overview of HVAC system simulation , 2010 .
[29] Gregor P. Henze,et al. Stochastic control optimization for a mixed mode building considering occupant window opening behaviour , 2014 .
[30] Eduardo Camponogara,et al. Distributed model predictive control , 2002 .
[31] Jun Wang,et al. A recurrent neural network for minimum infinity-norm kinematic control of redundant manipulators with an improved problem formulation and reduced architecture complexity , 2001, IEEE Trans. Syst. Man Cybern. Part B.
[32] Lorenz T. Biegler,et al. On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming , 2006, Math. Program..
[33] K. Max Zhang,et al. Testing building controls with the BLDG toolbox , 2016, 2016 American Control Conference (ACC).
[34] Maher Kayal,et al. Comparison of MPC Formulations for Building Control under Commercial Time-of-Use Tariffs , 2019, 2019 IEEE Milan PowerTech.
[35] Rita Streblow,et al. Development and validation of grey-box models for forecasting the thermal response of occupied buildings , 2016 .
[36] Francesco Borrelli,et al. Model predictive control of radiant slab systems with evaporative cooling sources , 2015 .
[37] Massimiliano Manfren,et al. Building Automation and Control Systems and performance optimization: A framework for analysis , 2017 .
[38] John Lygeros,et al. The Power of Diversity: Data-Driven Robust Predictive Control for Energy-Efficient Buildings and Districts , 2016, IEEE Transactions on Control Systems Technology.
[39] Christian Ghiaus,et al. Optimal temperature control of intermittently heated buildings using Model Predictive Control: Part I – Building modeling , 2012 .
[40] Ilaria Ballarini,et al. Data analytics for occupancy pattern learning to reduce the energy consumption of HVAC systems in office buildings , 2017 .
[41] Farrokh Janabi-Sharifi,et al. Supervisory model predictive controller (MPC) for residential HVAC systems: Implementation and experimentation on archetype sustainable house in Toronto , 2017 .
[42] Fiorella Lauro,et al. An adaptive distributed predictive control strategy for temperature regulation in a multizone office building , 2014, 2014 IEEE International Workshop on Intelligent Energy Systems (IWIES).
[43] L. Helsen,et al. Short-term modeling of hybrid geothermal systems for Model Predictive Control , 2020 .
[44] Gregor P. Henze. Model predictive control for buildings: a quantum leap? , 2013 .
[45] Olaf Gutschker,et al. Parameter identification with the software package LORD , 2008 .
[46] Zhe Zhang,et al. A state-space thermal model incorporating humidity and thermal comfort for model predictive control in buildings , 2018, Energy and Buildings.
[47] Torsten Bohlin. Grey-Box Model Calibrator and Validator , 2003 .
[48] Michael Wetter,et al. Fan And Pump Model That Has A Unique Solution For Any Pressure Boundary Condition And Control Signal , 2013, Building Simulation Conference Proceedings.
[49] Kim-Chuan Toh,et al. SDPT3 -- A Matlab Software Package for Semidefinite Programming , 1996 .
[50] Gerardo Maria Mauro,et al. Simulation-based model predictive control by the multi-objective optimization of building energy performance and thermal comfort , 2016 .
[51] Pieter de Wilde,et al. A review of uncertainty analysis in building energy assessment , 2018, Renewable and Sustainable Energy Reviews.
[52] Koushik Kar,et al. Distributed consensus algorithms for collaborative temperature control in smart buildings , 2015, 2015 American Control Conference (ACC).
[53] Johannes Jungwirth,et al. SELF-ADAPTING BUILDING MODELS FOR MODEL PREDICTIVE CONTROL , 2013 .
[54] Wolfgang Dahmen,et al. Introduction to Model Based Optimization of Chemical Processes on Moving Horizons , 2001 .
[55] Manfred Morari,et al. On real-time robust model predictive control , 2014, Autom..
[56] Lukas Hewing,et al. Learning-Based Model Predictive Control: Toward Safe Learning in Control , 2020, Annu. Rev. Control. Robotics Auton. Syst..
[57] James E. Braun,et al. A multi-agent control based demand response strategy for multi-zone buildings , 2016, 2016 American Control Conference (ACC).
[58] W D van Marken Lichtenbelt,et al. Differences between young adults and elderly in thermal comfort, productivity, and thermal physiology in response to a moderate temperature drift and a steady-state condition. , 2010, Indoor air.
[59] Mokhtar S. Bazaraa,et al. Nonlinear Programming: Theory and Algorithms , 1993 .
[60] M Morari,et al. Energy efficient building climate control using Stochastic Model Predictive Control and weather predictions , 2010, Proceedings of the 2010 American Control Conference.
[61] Kunal Kumar,et al. Experimental Evaluation of a MIMO Adaptive Dual MPC , 2015 .
[62] Xiao Chen,et al. Model predictive control for indoor thermal comfort and energy optimization using occupant feedback , 2015 .
[63] Lorenzo Fagiano,et al. Adaptive receding horizon control for constrained MIMO systems , 2014, Autom..
[64] Rush D. Robinett,et al. Identification and energy efficient control for a building: Getting inspired by MPC , 2015, 2015 American Control Conference (ACC).
[65] John Lygeros,et al. A stochastic optimization approach to cooperative building energy management via an energy hub , 2015, 2015 54th IEEE Conference on Decision and Control (CDC).
[66] Gongsheng Huang,et al. Model predictive control of VAV zone thermal systems concerning bi-linearity and gain nonlinearity , 2011 .
[67] Karl Henrik Johansson,et al. Control of HVAC systems via scenario-based explicit MPC , 2014, 53rd IEEE Conference on Decision and Control.
[68] Zheng Qin,et al. Development of a whole building model predictive control strategy for a LEED silver community college , 2016 .
[69] Stephen J. Wright,et al. Cooperative distributed model predictive control , 2010, Syst. Control. Lett..
[70] Chiara Aghemo,et al. Management and monitoring of public buildings through ICT based systems: Control rules for energy saving with lighting and HVAC services , 2013 .
[71] S. Baldi,et al. Dual estimation: Constructing building energy models from data sampled at low rate , 2016 .
[72] Brian Coffey,et al. Approximating model predictive control with existing building simulation tools and offline optimization , 2013 .
[73] Rahul Mangharam,et al. Data Predictive Control for building energy management , 2017, 2017 American Control Conference (ACC).
[74] James E. Braun,et al. Distributed model predictive control via Proximal Jacobian ADMM for building control applications , 2017, 2017 American Control Conference (ACC).
[75] Michael Wetter,et al. Practical factors of envelope model setup and their effects on the performance of model predictive control for building heating, ventilating, and air conditioning systems , 2019, Applied Energy.
[76] Damien Picard,et al. Approximate model predictive building control via machine learning , 2018 .
[77] Lieve Helsen,et al. Simulation-Based Occupancy Estimation in Office Buildings Using CO2 Sensors , 2017, Building Simulation Conference Proceedings.
[78] Zoltán Nagy,et al. Using machine learning techniques for occupancy-prediction-based cooling control in office buildings , 2018 .
[79] Stephen P. Boyd,et al. Fast Model Predictive Control Using Online Optimization , 2010, IEEE Transactions on Control Systems Technology.
[80] D. Subbaram Naidu,et al. Advanced control strategies for heating, ventilation, air-conditioning, and refrigeration systems—An overview: Part I: Hard control , 2011 .
[81] Lieve Helsen,et al. Comparison of load shifting incentives for low-energy buildings with heat pumps to attain grid flexibility benefits , 2016 .
[82] Chao Shang,et al. A data-driven robust optimization approach to scenario-based stochastic model predictive control , 2018, Journal of Process Control.
[83] Matthew Kelly,et al. An Introduction to Trajectory Optimization: How to Do Your Own Direct Collocation , 2017, SIAM Rev..
[84] Thierry S. Nouidui,et al. Building energy simulation in real time through an open standard interface , 2016 .
[85] H. P. Williams,et al. Model Building in Mathematical Programming , 1979 .
[86] Johan Löfberg,et al. YALMIP : a toolbox for modeling and optimization in MATLAB , 2004 .
[87] Frauke Oldewurtel,et al. Building modeling as a crucial part for building predictive control , 2013 .
[88] Mohamed Benbouzid,et al. Intelligent Systems for Building Energy and Occupant Comfort Optimization: A State of the Art Review and Recommendations , 2018 .
[89] Yiguo Li,et al. Preference adjustable multi-objective NMPC: An unreachable prioritized point tracking method. , 2017, ISA transactions.
[90] Martin Schmelas,et al. Savings through the use of adaptive predictive control of thermo-active building systems (TABS): A case study , 2017 .
[91] R. Kamalapurkar,et al. Simultaneous state and parameter estimation for second-order nonlinear systems , 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).
[92] Martin Kozek,et al. Ten questions concerning model predictive control for energy efficient buildings , 2016 .
[93] Wouter D. van Marken Lichtenbelt,et al. Building and occupant energetics: a physiological hypothesis , 2013 .
[94] Alberto Bemporad,et al. Model Predictive Control (MPC) for Enhancing Building and HVAC System Energy Efficiency: Problem Formulation, Applications and Opportunities , 2018 .
[95] Cornelia Gyorodi,et al. A Comparative Study of Relational and Non-Relational Database Models in a Web- Based Application , 2015 .
[96] Draguna Vrabie,et al. Parameter estimation of a building system model and impact of estimation error on closed-loop performance , 2011, IEEE Conference on Decision and Control and European Control Conference.
[97] Draguna Vrabie,et al. Simulation and experimental demonstration of model predictive control in a building HVAC system , 2015 .
[98] Miroslav Fikar,et al. Explicit stochastic MPC approach to building temperature control , 2013, 52nd IEEE Conference on Decision and Control.
[99] Dominique Marchio,et al. Development and validation of a gray box model to predict thermal behavior of occupied office buildings , 2014 .
[100] Gregor P. Henze,et al. Statistical Analysis of Neural Networks as Applied to Building Energy Prediction , 2004 .
[101] Brian W. Kernighan,et al. AMPL: A Modeling Language for Mathematical Programming , 1993 .
[102] S. Joe Qin,et al. A survey of industrial model predictive control technology , 2003 .
[103] Hao Huang,et al. Model predictive control for energy-efficient buildings: An airport terminal building study , 2014, 11th IEEE International Conference on Control & Automation (ICCA).
[104] Joseph Andrew Clarke,et al. Energy Simulation in Building Design , 1985 .
[105] Stefano Di Cairano,et al. On region-free explicit model predictive control , 2015, 2015 54th IEEE Conference on Decision and Control (CDC).
[106] William O'Brien,et al. Sequential state prediction and parameter estimation with constrained dual extended Kalman filter for building zone thermal responses , 2019, Energy and Buildings.
[107] Philip Haves,et al. Model predictive control for the operation of building cooling systems , 2010, Proceedings of the 2010 American Control Conference.
[108] Stephen P. Boyd,et al. CVXPY: A Python-Embedded Modeling Language for Convex Optimization , 2016, J. Mach. Learn. Res..
[109] Jan M. Maciejowski,et al. Predictive control : with constraints , 2002 .
[110] Xiaojing Zhang,et al. Adaptive MPC for Iterative Tasks , 2018, 2018 IEEE Conference on Decision and Control (CDC).
[111] Sirish L. Shah,et al. Multivariable constrained adaptive GPC : Theory and experimental evaluation , 1997 .
[112] José Luis Guzmán,et al. Efficient building energy management using distributed model predictive control , 2014 .
[113] Manfred Morari,et al. Importance of occupancy information for building climate control , 2013 .
[114] Henrik Madsen,et al. Identification of the main thermal characteristics of building components using MATLAB , 2008 .
[115] Timo Berthold,et al. Parallelization of the FICO Xpress-Optimizer , 2016, ICMS.
[116] P. Palensky,et al. An unscented Kalman filter approach for the plant-model mismatch reduction in HVAC system model based control , 2012, Annual Conference of the IEEE Industrial Electronics Society.
[117] David Q. Mayne,et al. Reachability analysis of discrete-time systems with disturbances , 2006, IEEE Transactions on Automatic Control.
[118] Lieve Helsen,et al. TACO, an automated toolchain for model predictive control of building systems: implementation and verification , 2018, Journal of Building Performance Simulation.
[119] Jan Široký,et al. BuildingLAB: A tool to analyze performance of model predictive controllers for buildings , 2013 .
[120] Josip Cesic,et al. Smart home automation system for energy efficient housing , 2014, 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).
[121] P. Fanger. Assessment of man's thermal comfort in practice , 1973, British journal of industrial medicine.
[122] Lukas Ferkl,et al. Optimization of Predicted Mean Vote index within Model Predictive Control framework: Computationally tractable solution , 2012 .
[123] Peter R. Armstrong,et al. Predictive pre-cooling of thermo-active building systems with low-lift chillers , 2011 .
[124] Gabriele Pannocchia,et al. Disturbance models for offset‐free model‐predictive control , 2003 .
[125] Stephen J. Wright,et al. Object-oriented software for quadratic programming , 2003, TOMS.
[126] Barbara Mayer,et al. Management of hybrid energy supply systems in buildings using mixed-integer model predictive control , 2015 .
[127] Stephen P. Boyd,et al. CVXGEN: a code generator for embedded convex optimization , 2011, Optimization and Engineering.
[128] Karl Henrik Johansson,et al. A scenario-based distributed stochastic MPC for building temperature regulation , 2014, 2014 IEEE International Conference on Automation Science and Engineering (CASE).
[129] Mikkel Baun Kjærgaard,et al. ObepME: An online building energy performance monitoring and evaluation tool to reduce energy performance gaps , 2018 .
[130] Colin Neil Jones,et al. OpenBuild : An integrated simulation environment for building control , 2015, 2015 IEEE Conference on Control Applications (CCA).
[131] Doug Cooper,et al. A practical multiple model adaptive strategy for single-loop MPC , 2003 .
[132] Lukas G. Swan,et al. Model predictive control for commercial buildings: trends and opportunities , 2016 .
[133] Daniel E. Fisher,et al. EnergyPlus: creating a new-generation building energy simulation program , 2001 .
[134] Damien Picard,et al. State Observer for Optimal Control using White-box Building Models , 2018 .
[135] L. Biegler,et al. Fast Offset-Free Nonlinear Model Predictive Control Based on Moving Horizon Estimation , 2010 .
[136] John Bagterp Jørgensen,et al. High-performance small-scale solvers for linear Model Predictive Control , 2014, 2014 European Control Conference (ECC).
[137] Jorge Nocedal,et al. Knitro: An Integrated Package for Nonlinear Optimization , 2006 .
[138] Gerald Schweiger,et al. Validation of dynamic building energy simulation tools based on a real test-box with thermally activated building systems (TABS) , 2018, Energy and Buildings.
[139] Wenjing Su,et al. Model Predictive Control for Smart Buildings to Provide the Demand Side Flexibility in the Multi-Carrier Energy Context: Current Status, Pros and Cons, Feasibility and Barriers , 2019, Energy Procedia.
[140] Bruno F. Santoro,et al. Optimal Control of a Climatization System Using Energy and Comfort Objectives , 2016 .
[141] Denis Navarro,et al. Deep Learning-Based Model Predictive Control for Resonant Power Converters , 2018, IEEE Transactions on Industrial Informatics.
[142] Consolación Gil,et al. Optimization methods applied to renewable and sustainable energy: A review , 2011 .
[143] Philip Haves,et al. A Modular Building Controls Virtual Test Bed for the Integrations of Heterogeneous Systems , 2008 .
[144] Stephen J. Wright,et al. Stability and optimality of distributed model predictive control , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.
[145] Jlm Jan Hensen,et al. INTEGRATION OF CONTROL AND BUILDING PERFORMANCE SIMULATION SOFTWARE BY RUN-TIME COUPLING , 2003 .
[146] Frauke Oldewurtel,et al. Scenario-based MPC for Energy Schedule Compliance with Demand Response , 2014 .
[147] Johan Åkesson,et al. Toolbox for development and validation of grey-box building models for forecasting and control , 2014 .
[148] Prashant Mhaskar,et al. Offset-free model predictive controller of a heat pump , 2014, 2014 American Control Conference.
[149] Alberto Bemporad,et al. Scenario-based model predictive control of stochastic constrained linear systems , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.
[150] David Q. Mayne,et al. Robust model predictive control using tubes , 2004, Autom..
[151] Bing Dong,et al. Occupancy behavior based model predictive control for building indoor climate—A critical review , 2016 .
[152] Riccardo Scattolini,et al. Architectures for distributed and hierarchical Model Predictive Control - A review , 2009 .
[153] Dirk Saelens,et al. OpenIDEAS – An Open Framework for integrated District Energy Simulations , 2015, Building Simulation Conference Proceedings.
[154] Francesco Borrelli,et al. Constrained Optimal Control of Linear and Hybrid Systems , 2003, IEEE Transactions on Automatic Control.
[155] Suzanne Lesecq,et al. Application of Distributed Model Predictive Approaches to Temperature and $CO_2$ Concentration Control in Buildings , 2017 .
[156] Shengwei Wang,et al. Robust MPC for temperature control of air-conditioning systems concerning on constraints and multitype uncertainties , 2010 .
[157] Petru-Daniel Morosan,et al. A distributed MPC strategy based on Benders' decomposition applied to multi-source multi-zone temperature regulation , 2011 .
[158] Edris Pouresmaeil,et al. Optimal residential model predictive control energy management performance with PV microgeneration , 2017, Comput. Oper. Res..
[159] Paul Davidsson,et al. Distributed monitoring and control of office buildings by embedded agents , 2005, Inf. Sci..
[160] Martin Guay,et al. ADAPTIVE ROBUST MPC: AN EYE TOWARDS COMPUTATIONAL SIMPLICITY , 2007 .
[161] Colin N. Jones,et al. On the selection of the most appropriate MPC problem formulation for buildings , 2013 .
[162] Fariborz Haghighat,et al. A software framework for model predictive control with GenOpt , 2010 .
[163] M. Morari,et al. Move blocking strategies in receding horizon control , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).
[164] Lukas Ferkl,et al. Model predictive control of a building heating system: The first experience , 2011 .
[165] John Lygeros,et al. Experimental demonstration of data predictive control for energy optimization and thermal comfort in buildings , 2020 .
[166] Ilias Bilionis,et al. Model predictive control under forecast uncertainty for optimal operation of buildings with integrated solar systems , 2018, Solar Energy.
[167] Balaji Rajagopalan,et al. Model-predictive control of mixed-mode buildings with rule extraction , 2011 .
[168] Mesut Avci,et al. Demand Response-Enabled Model Predictive HVAC Load Control in Buildings using Real-Time Electricity Pricing , 2013 .
[169] Damien Picard,et al. Comparison of Model Predictive Control Performance Using Grey-Box and White-Box Controller Models of a Multi-zone Office Building , 2016 .
[170] Sten Bay Jørgensen,et al. Parameter estimation in stochastic grey-box models , 2004, Autom..
[171] R. de Dear,et al. Adaptive temperature limits: A new guideline in The Netherlands: A new approach for the assessment of building performance with respect to thermal indoor climate☆ , 2006 .
[172] Ciprian Lapusan,et al. Development of a Multi-Room Building Thermodynamic Model Using Simscape Library☆ , 2016 .
[173] Michael Wetter,et al. Robust on-line fault detection diagnosis for HVAC components based on nonlinear state estimation techniques , 2014 .
[174] Torsten Koller,et al. Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning , 2019, ArXiv.
[175] Moritz Diehl,et al. ACADO toolkit—An open‐source framework for automatic control and dynamic optimization , 2011 .
[176] Evangelos Vrettos,et al. Predictive Control of buildings for Demand Response with dynamic day-ahead and real-time prices , 2013, 2013 European Control Conference (ECC).
[177] Zheng O'Neill,et al. Comparisons of inverse modeling approaches for predicting building energy performance , 2015 .
[178] Manfred Morari,et al. Modeling and identification of a large multi-zone office building , 2011, 2011 IEEE International Conference on Control Applications (CCA).
[179] L. Helsen,et al. A convex approach to a class of non-convex building HVAC control problems: Illustration by two case studies , 2015 .
[180] Lars Broman,et al. TRNSYS The most complete solar energy system modeling and simulation software , 1994 .
[181] Christof Büskens,et al. The ESA NLP Solver WORHP , 2012 .
[182] Alberto Bemporad,et al. Predictive Control for Linear and Hybrid Systems , 2017 .
[183] Andreas Junghanns,et al. The Functional Mockup Interface for Tool independent Exchange of Simulation Models , 2011 .
[184] Francesco Borrelli,et al. Stochastic Model Predictive Control for Building HVAC Systems: Complexity and Conservatism , 2015, IEEE Transactions on Control Systems Technology.
[185] Lieve Helsen,et al. Integrated Modelica Model and Model Predictive Control of a Terraced House Using IDEAS , 2019, Modelica.
[186] Lei Chen,et al. A neural network-based multi-zone modelling approach for predictive control system design in commercial buildings , 2015 .
[187] Antonio Vicino,et al. Demand-response in building heating systems: A Model Predictive Control approach , 2016 .
[188] Frank Allgöwer,et al. Scenario-based Stochastic MPC with guaranteed recursive feasibility , 2015, 2015 54th IEEE Conference on Decision and Control (CDC).
[189] Michal Kvasnica,et al. Explicit MPC approach to PMV-based thermal comfort control , 2014, 53rd IEEE Conference on Decision and Control.
[190] Paul Pop,et al. Comparing Web Applications with Desktop Applications: An Empirical Study , 2002 .
[191] Pornchai Bumroongsri,et al. Tube-based robust output feedback MPC for constrained LTV systems with applications in chemical processes , 2019, Eur. J. Control.
[192] Marcello Farina,et al. Stochastic linear Model Predictive Control with chance constraints – A review , 2016 .
[193] Manfred Morari,et al. Stochastic Model Predictive Control for Building Climate Control , 2014, IEEE Transactions on Control Systems Technology.
[194] Petru-Daniel Morosan,et al. Building temperature regulation using a distributed model predictive control , 2010 .
[195] Nathan Mendes,et al. Predictive controllers for thermal comfort optimization and energy savings , 2008 .
[196] Colin Neil Jones,et al. Data-driven demand response modeling and control of buildings with Gaussian Processes , 2017, 2017 American Control Conference (ACC).
[197] Martin T. Hagan,et al. Neural network design , 1995 .
[198] Shi You,et al. Challenges of implementing economic model predictive control strategy for buildings interacting with smart energy systems , 2017 .
[199] Tianzhen Hong,et al. Occupant behavior modeling for building performance simulation: Current state and future challenges , 2015 .
[200] K. Sathish Kumar,et al. A survey on residential Demand Side Management architecture, approaches, optimization models and methods , 2016 .
[201] Gregor P. Henze,et al. A model predictive control optimization environment for real-time commercial building application , 2013 .
[202] Alessandro Abate,et al. Benchmarks for cyber-physical systems: A modular model library for building automation systems (Extended version) , 2018, ADHS.
[203] James B. Rawlings,et al. Model predictive control with linear models , 1993 .
[204] Mikkel Baun Kjærgaard,et al. Multi-Objective Model Predictive Control Framework for Buildings , 2019 .
[205] Manfred Morari,et al. Robust Model Predictive Control , 1987, 1987 American Control Conference.
[206] Francisco Rodríguez,et al. A comparison of thermal comfort predictive control strategies , 2011 .
[207] Alfonso Capozzoli,et al. USE of the ANOVA approach for sensitive building energy design , 2010 .
[208] Zicheng Cai,et al. Gnu-RL: A Precocial Reinforcement Learning Solution for Building HVAC Control Using a Differentiable MPC Policy , 2019, BuildSys@SenSys.
[209] Denis Dochain,et al. Review and classification of recent observers applied in chemical process systems , 2015, Comput. Chem. Eng..
[210] Manfred Morari,et al. Learning decision rules for energy efficient building control , 2014 .
[211] João Miguel da Costa Sousa,et al. Nonlinear economic model predictive control strategy for active smart buildings , 2016, 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe).
[212] Marco Pavone,et al. A machine learning approach for real-time reachability analysis , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[213] Michael Wetter,et al. Building design optimization using a convergent pattern search algorithm with adaptive precision simulations , 2005 .
[214] Lorenzo Fagiano,et al. Scenario and Adaptive Model Predictive Control of Uncertain Systems , 2015 .
[215] S. A. Billings,et al. Neural networks and system identification , 1992 .
[216] Stefano Di Cairano,et al. Modelica Implementation of Centralized MPC Controller for a Multi-Zone Heat Pump , 2019, 2019 18th European Control Conference (ECC).
[217] Michael Wetter,et al. Precision Control for Generalized Pattern Search Algorithms with Adaptive Precision Function Evaluations , 2003, SIAM J. Optim..
[218] Richard D. Braatz,et al. Stochastic model predictive control with joint chance constraints , 2015, Int. J. Control.
[219] Manfred Morari,et al. Nonlinear offset-free model predictive control , 2012, Autom..
[220] Farrokh Janabi-Sharifi,et al. Review of modeling methods for HVAC systems , 2014 .
[221] Manfred Morari,et al. A tractable approximation of chance constrained stochastic MPC based on affine disturbance feedback , 2008, 2008 47th IEEE Conference on Decision and Control.
[222] Simeng Liu,et al. Evaluation of reinforcement learning for optimal control of building active and passive thermal storage inventory , 2007 .
[223] Lieve Helsen,et al. Practical implementation and evaluation of model predictive control for an office building in Brussels , 2016 .
[224] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[225] Manfred Morari,et al. Use of model predictive control and weather forecasts for energy efficient building climate control , 2012 .
[226] Colin N. Jones,et al. Hierarchical control of building HVAC system for ancillary services provision , 2018, Energy and Buildings.
[227] Damien PICARD,et al. MPC performance for hybrid GEOTABS buildings. , 2018 .
[228] Christos T. Maravelias,et al. Economic MPC and real-time decision making with application to large-scale HVAC energy systems , 2017, Comput. Chem. Eng..
[229] Draguna Vrabie,et al. Prototyping the BOPTEST Framework for Simulation-Based Testing of Advanced Control Strategies in Buildings , 2019 .
[230] David Q. Mayne,et al. Robust and stochastic model predictive control: Are we going in the right direction? , 2016, Annu. Rev. Control..
[231] Jingcheng Wang,et al. A multi-step robust model predictive control scheme for polytopic uncertain multi-input systems , 2014 .
[232] Fadi M. Alsaleem,et al. Adaptive-model predictive control of electronic expansion valves with adjustable setpoint for evaporator superheat minimization , 2018 .
[233] Antonio Vicino,et al. An integrated MPC approach for demand-response heating and energy storage operation in smart buildings , 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).
[234] John Lygeros,et al. Convexity and convex approximations of discrete-time stochastic control problems with constraints , 2011, Autom..
[235] João Figueiredo,et al. A SCADA system for energy management in intelligent buildings , 2012 .
[236] Michael D. Knudsen,et al. Demand response potential of model predictive control of space heating based on price and carbon dioxide intensity signals , 2016 .
[237] Michael Wetter,et al. MODELICA VERSUS TRNSYS – A COMPARISON BETWEEN AN EQUATION-BASED AND A PROCEDURAL MODELING LANGUAGE FOR BUILDING ENERGY SIMULATION , 2006 .
[238] Knud D. Andersen,et al. The Mosek Interior Point Optimizer for Linear Programming: An Implementation of the Homogeneous Algorithm , 2000 .
[239] Michal Kvasnica,et al. Comparison of MPC strategies for building control , 2013, 2013 International Conference on Process Control (PC).
[240] Piotr Tatjewski. Disturbance Modeling and State Estimation for Predictive Control with Different State-Space Process Models , 2011 .
[241] Ali Mesbah,et al. Stochastic model predictive control with active uncertainty learning: A Survey on dual control , 2017, Annu. Rev. Control..
[242] Thierry S. Nouidui,et al. Equation-based languages- A new paradigm for building energy modeling, simulation and optimization , 2016 .
[243] Romain Bourdais,et al. Hierarchical Model Predictive Control for Building Energy Management of Hybrid Systems , 2018, ADHS.
[244] Xiwang Li,et al. Multi-objective optimization for thermal mass model predictive control in small and medium size commercial buildings under summer weather conditions , 2016 .
[246] Francesco Borrelli,et al. Fast stochastic MPC with optimal risk allocation applied to building control systems , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).
[247] Lukas G. Swan,et al. Opportunities for Implementation of MPC in Commercial Buildings , 2015 .
[248] Christian Koch,et al. Building information modelling based building energy modelling: A review , 2019, Applied Energy.
[249] Inhan Kim,et al. Gaussian Process Model for Control of an Existing Building , 2015 .
[250] Michael Wetter,et al. Co-simulation of innovative integrated HVAC systems in buildings , 2009 .
[251] Brandon Hencey,et al. Online building thermal parameter estimation via Unscented Kalman Filtering , 2012, 2012 American Control Conference (ACC).
[252] James E. Braun,et al. Distributed Model Predictive Control for Building HVAC systems: A Case Study , 2014 .
[253] Lino Guzzella,et al. EKF based self-adaptive thermal model for a passive house , 2014 .
[254] Karl Johan Åström,et al. Adaptive Control , 1989, Embedded Digital Control with Microcontrollers.
[255] M. Guay,et al. Robust adaptive MPC for constrained uncertain nonlinear systems , 2011 .
[256] Olivier Bournez,et al. Approximate Reachability Analysis of Piecewise-Linear Dynamical Systems , 2000, HSCC.
[257] Stefan Antonov,et al. Robustness analysis of a hybrid ground coupled heat pump system with model predictive control , 2016 .
[258] Stephen P. Boyd,et al. ECOS: An SOCP solver for embedded systems , 2013, 2013 European Control Conference (ECC).
[259] Frank Allgöwer,et al. Stabilizing stochastic MPC without terminal constraints , 2017, 2017 American Control Conference (ACC).
[260] Lieve Helsen,et al. Setting up a framework for model predictive control with moving horizon state estimation using JModelica , 2014 .
[261] J. F. Nicol,et al. The validity of ISO-PMV for predicting comfort votes in every-day thermal environments , 2002 .
[262] Pu Li,et al. Chance Constrained Nonlinear Model Predictive Control , 2007 .
[263] Andrew G. Alleyne,et al. Decentralized predictive thermal control for buildings , 2014 .
[264] Michael Wetter,et al. ModestPy: An Open-Source Python Tool for Parameter Estimation in Functional Mock-up Units , 2018, Proceedings of The American Modelica Conference 2018, October 9-10, Somberg Conference Center, Cambridge MA, USA.
[265] Nathan Mendes,et al. THERMAL COMFORT BASED PREDICTIVE CONTROLLERS FOR BUILDING HEATING SYSTEMS , 2005 .
[266] Kody M. Powell,et al. Nonlinear modeling, estimation and predictive control in APMonitor , 2014, Comput. Chem. Eng..
[267] Francesco Borrelli,et al. A distributed predictive control approach to building temperature regulation , 2011, Proceedings of the 2011 American Control Conference.
[268] Anton Kummert,et al. Model Predictive Control for Hydronic Heating Systems in Residential Buildings , 2017 .
[269] A. Bemporad,et al. Model Predictive Control Design: New Trends and Tools , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.
[270] Bo Nørregaard Jørgensen,et al. Improved Local Weather Forecasts Using Artificial Neural Networks , 2015, DCAI.
[271] Zheng Qin,et al. Experimental implementation of whole building MPC with zone based thermal comfort adjustments , 2017 .
[272] Francesco Borrelli,et al. Model Predictive Control of thermal energy storage in building cooling systems , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.
[273] David Q. Mayne,et al. Model predictive control: Recent developments and future promise , 2014, Autom..
[274] James E. Braun,et al. A Distributed Approach to Efficient Model Predictive Control of Building HVAC Systems , 2012 .
[275] Hae Young Noh,et al. Data-driven forecasting algorithms for building energy consumption , 2013, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.
[276] Michael Sebek,et al. Economical nonlinear model predictive control for building climate control , 2014, 2014 American Control Conference.
[277] David H. Blum,et al. A novel multi-market optimization problem for commercial heating, ventilation, and air-conditioning systems providing ancillary services using multi-zone inverse comprehensive room transfer functions , 2016 .
[278] Man Pun Wan,et al. An adaptive robust model predictive control for indoor climate optimization and uncertainties handling in buildings , 2019, Building and Environment.
[279] E. Yaz. Linear Matrix Inequalities In System And Control Theory , 1998, Proceedings of the IEEE.
[280] Martin Horn,et al. Temperature control for HVAC systems based on exact linearization and model predictive control , 2011, 2011 IEEE International Conference on Control Applications (CCA).
[281] Dirk Saelens,et al. Quality of grey-box models and identified parameters as function of the accuracy of input and observation signals , 2014 .
[282] Dario Ambrosini,et al. Data-driven model predictive control using random forests for building energy optimization and climate control , 2018, Applied Energy.
[283] Damien Picard,et al. Cloud-based implementation of white-box model predictive control for a GEOTABS office building: A field test demonstration , 2020 .
[284] A. Mesbah,et al. Stochastic Model Predictive Control: An Overview and Perspectives for Future Research , 2016, IEEE Control Systems.
[285] Manfred Morari,et al. BRCM Matlab Toolbox: Model generation for model predictive building control , 2014, 2014 American Control Conference.
[286] Steven B. Leeb,et al. Control with building mass-Part I: Thermal response model , 2006 .
[287] M. J. Jiménez,et al. Sequential Monte Carlo for on-line parameter estimation of a lumped building energy model , 2019, Energy and Buildings.
[288] Kaamran Raahemifar,et al. Artificial neural network (ANN) based model predictive control (MPC) and optimization of HVAC systems: A state of the art review and case study of a residential HVAC system , 2017 .
[289] Manfred Morari,et al. Learning and Control Using Gaussian Processes , 2018, 2018 ACM/IEEE 9th International Conference on Cyber-Physical Systems (ICCPS).
[290] Deepak Ingole,et al. Reachability Analysis and Control Synthesis for Uncertain Linear Systems in MPT , 2015 .
[291] Lieve Helsen,et al. Evaluation of adaptive thermal comfort models in moderate climates and their impact on energy use in , 2011 .
[292] G. Pannocchia,et al. Offset-free MPC explained: novelties, subtleties, and applications , 2015 .
[293] Thierry Talbert,et al. A procedure for modeling buildings and their thermal zones using co-simulation and system identification , 2014 .
[294] Gerardo Maria Mauro,et al. Weather-data-based control of space heating operation via multi-objective optimization: Application to Italian residential buildings , 2019 .
[295] Joel A. Paulson,et al. Stochastic model predictive control - how does it work? , 2017, Comput. Chem. Eng..
[296] Thierry S. Nouidui,et al. Modelica Buildings library , 2014 .
[297] Draguna Vrabie,et al. Experimental Demonstration of Model Predictive Control in a Medium-Sized Commercial Building , 2014 .
[298] Farrokh Janabi-Sharifi,et al. Theory and applications of HVAC control systems – A review of model predictive control (MPC) , 2014 .
[299] Michael A. Saunders,et al. SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization , 2005, SIAM Rev..
[300] Marko Bacic,et al. Model predictive control , 2003 .
[301] Franco Blanchini,et al. Set invariance in control , 1999, Autom..
[302] Nicolas Réhault,et al. Energy performance optimization in buildings: A review on semantic interoperability, fault detection, and predictive control , 2018, Applied Physics Reviews.
[303] Giuseppe Tommaso Costanzo,et al. A Distributed Model Predictive Control approach for the integration of flexible loads, storage and renewables , 2014, 2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE).
[304] Frank Allgöwer,et al. Adaptive Model Predictive Control with Robust Constraint Satisfaction , 2017 .
[305] Andy Liaw,et al. Classification and Regression by randomForest , 2007 .
[306] Hava T. Siegelmann,et al. On the Computational Power of Neural Nets , 1995, J. Comput. Syst. Sci..
[307] Juan P. Ruiz,et al. Generalized Disjunctive Programming: A Framework for Formulation and Alternative Algorithms for MINLP Optimization , 2012 .
[308] Mikkel Baun Kjærgaard,et al. Performance comparison of occupancy count estimation and prediction with common versus dedicated sensors for building model predictive control , 2017 .
[309] Bernt Lie,et al. The OpenModelica Integrated Modeling, Simulation, and Optimization Environment , 2019 .
[310] Amin Rezaeizadeh,et al. Adaptive model predictive climate control of multi-unit buildings using weather forecast data , 2020 .
[311] Damien Picard,et al. Impact of the controller model complexity on model predictive control performance for buildings , 2017 .
[312] Frank Allgöwer,et al. Learning-Based Robust Model Predictive Control with State-Dependent Uncertainty , 2018 .
[313] António E. Ruano,et al. Prediction of building's temperature using neural networks models , 2006 .
[314] Andrew G. Alleyne,et al. Optimal Partitioning for the Decentralized Thermal Control of Buildings , 2013, IEEE Transactions on Control Systems Technology.
[315] Pedro M. Castro,et al. Generalized Disjunctive Programming as a Systematic Modeling Framework to Derive Scheduling Formulations , 2012 .
[316] Kenneth R. Muske,et al. Disturbance modeling for offset-free linear model predictive control , 2002 .
[317] James E. Braun,et al. Hierarchical Model Predictive Control Approach for Optimal Demand Response for Small/Medium-sized Commercial Buildings , 2018, 2018 Annual American Control Conference (ACC).
[318] Stephen P. Boyd,et al. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..
[319] Jiangjiang Wang,et al. Review on multi-criteria decision analysis aid in sustainable energy decision-making , 2009 .
[320] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[321] Jianghai Hu,et al. A Differentially Private Distributed Solution Approach to the Model Predictive Control of Building Clusters , 2018, 2018 IEEE Conference on Decision and Control (CDC).
[322] ChangKyoo Yoo,et al. Multi-objective optimization of indoor air quality control and energy consumption minimization in a subway ventilation system , 2013 .
[323] James E. Braun,et al. General approaches for determining the savings potential of optimal control for cooling in commercial buildings having both energy and demand charges , 2016 .
[324] David H. Blum,et al. MPCPy: An Open-Source Software Platform for Model Predictive Control in Buildings , 2019 .
[325] Manfred Morari,et al. Model Predictive Climate Control of a Swiss Office Building: Implementation, Results, and Cost–Benefit Analysis , 2016, IEEE Transactions on Control Systems Technology.
[326] A. Gracia,et al. Model predictive control applied to a heating system with PV panels and thermal energy storage , 2020 .
[327] Lorenzo Fagiano,et al. The scenario approach for Stochastic Model Predictive Control with bounds on closed-loop constraint violations , 2013, Autom..
[328] M. Kvasnica,et al. Building Temperature Control by Simple MPC-like Feedback Laws Learned from Closed-Loop Data , 2014 .
[329] Theis Heidmann Pedersen,et al. Towards practical model predictive control of residential space heating: Eliminating the need for weather measurements , 2018, Energy and Buildings.
[330] Dieter Brüggemann,et al. Economic model predictive control of combined thermal and electric residential building energy systems , 2019, Applied Energy.
[331] Richard D. Braatz,et al. Stochastic model predictive control with joint chance constraints , 2015, Int. J. Control.
[332] Manfred Morari,et al. Multi-Parametric Toolbox 3.0 , 2013, 2013 European Control Conference (ECC).
[333] David L. Woodruff,et al. Pyomo — Optimization Modeling in Python , 2012, Springer Optimization and Its Applications.
[334] Manfred Morari,et al. Model Predictive Control of a Swiss Office Building , 2013 .
[335] Hongsan Sun,et al. An occupant behavior modeling tool for co-simulation , 2016 .
[336] Jan Hensen,et al. Building Performance Simulation for Design and Operation , 2019 .
[337] P. Popovski,et al. Reducing the carbon footprint of house heating through model predictive control – A simulation study in Danish conditions , 2018, Sustainable Cities and Society.
[338] Stephen P. Boyd,et al. Semidefinite Programming , 1996, SIAM Rev..
[339] Manfred Morari,et al. Analysis of energy savings potentials for integrated room automation , 2010 .
[340] E. A. Hathway,et al. Model-predictive control for non-domestic buildings: a critical review and prospects , 2017 .
[341] Christian Kirches,et al. qpOASES: a parametric active-set algorithm for quadratic programming , 2014, Mathematical Programming Computation.
[342] Andrew Kusiak,et al. Modeling and optimization of HVAC systems using a dynamic neural network , 2012 .
[343] Niels Kjolstad Poulsen,et al. Tuning of methods for offset free MPC based on ARX model representations , 2010, Proceedings of the 2010 American Control Conference.
[344] Iain Dunning,et al. JuMP: A Modeling Language for Mathematical Optimization , 2015, SIAM Rev..
[345] Yang Zhao,et al. MPC-based optimal scheduling of grid-connected low energy buildings with thermal energy storages , 2015 .
[346] Dirk Saelens,et al. Modelling uncertainty in district energy simulations by stochastic residential occupant behaviour , 2016 .
[347] Mahdi Shahbakhti,et al. Building Efficiency and Sustainability in the Tropics ( SinBerBEST ) Title Handling model uncertainty in model predictive control for energy efficient buildings Permalink , 2014 .
[348] Gordon Lightbody,et al. Prioritised objectives for model predictive control of building heating systems , 2017 .
[349] Peter R. Armstrong,et al. Modeling Environment for Model Predictive Control of Buildings , 2014 .
[350] Dirk Saelens,et al. Implementation and verification of the IDEAS building energy simulation library , 2018 .
[351] Michal Kvasnica,et al. MPC-based reference governors for thermostatically controlled residential buildings , 2015, 2015 54th IEEE Conference on Decision and Control (CDC).
[352] Alberto Bemporad,et al. The explicit linear quadratic regulator for constrained systems , 2003, Autom..
[353] David Broman,et al. Determinate composition of FMUs for co-simulation , 2013, 2013 Proceedings of the International Conference on Embedded Software (EMSOFT).
[354] Bjarne A. Foss,et al. Dual adaptive model predictive control , 2017, Autom..
[355] James E. Braun,et al. Multi-agent control for centralized air conditioning systems serving multi-zone buildings , 2015, 2015 American Control Conference (ACC).
[356] Iakovos Michailidis,et al. Model-based and model-free “plug-and-play” building energy efficient control , 2015 .
[357] Jonathan A. Wright,et al. A comparison of deterministic and probabilistic optimization algorithms for nonsmooth simulation-based optimization , 2004 .
[358] Manfred Morari,et al. Reducing peak electricity demand in building climate control using real-time pricing and model predictive control , 2010, 49th IEEE Conference on Decision and Control (CDC).
[359] Barrero Josefa,et al. Promoting healthy and energy efficient buildings in the European Union: National implementation of related requirements of the Energy Performance Buildings Directive (2010/31/EU) , 2017 .
[360] Francisco Rodríguez,et al. Comfort Control in Buildings , 2014 .
[361] Francisco Rodríguez,et al. Thermal comfort control using a non-linear MPC strategy: A real case of study in a bioclimatic building , 2014 .
[362] Rafael Wisniewski,et al. Comparison of strategies for model predictive control for home heating in future energy systems , 2017, 2017 IEEE Manchester PowerTech.
[363] Dirk Müller,et al. AixLib - An Open-Source Modelica Library within the IEA-EBC Annex60 Framework , 2016 .
[364] A. Gambier,et al. MPC and PID control based on Multi-Objective Optimization , 2008, 2008 American Control Conference.
[365] Alberto Bemporad,et al. Control of systems integrating logic, dynamics, and constraints , 1999, Autom..
[366] Ian Postlethwaite,et al. Multivariable Feedback Control: Analysis and Design , 1996 .
[367] Jie Chen,et al. Prediction of room temperature and relative humidity by autoregressive linear and nonlinear neural n , 2011 .
[368] Michael Wetter,et al. Simplifications for hydronic system models in modelica , 2018 .
[369] Xin Zhou. Comparison of Building Energy Modeling Programs: HVAC Systems , 2013 .
[370] Jung-Su Kim. Recent advances in adaptive MPC , 2010, ICCAS 2010.
[371] Steven K. Firth,et al. Modeling occupant behavior in buildings , 2020 .
[372] Hamid Reza Shaker,et al. Comparative Analysis of White-, Gray- and Black-box Models for Thermal Simulation of Indoor Environment: Teaching Building Case Study , 2018 .
[373] Damien Picard,et al. Methodology for Obtaining Linear State Space Building Energy Simulation Models , 2015 .
[374] Bjarne W. Olesen,et al. Indoor Environment-Health-Comfort and Productivity , 2007 .
[375] Leon M. Tolbert,et al. A method for modeling household occupant behavior to simulate residential energy consumption , 2014, ISGT 2014.
[376] Jiang Du,et al. Model predictive control of commercial buildings in demand response programs in the presence of thermal storage , 2019, Journal of Cleaner Production.
[377] J. Lygeros,et al. On the sample size of randomized MPC for chance-constrained systems with application to building climate control , 2014, European Control Conference.
[378] Jean Hennebert,et al. Toward Web Enhanced Building Automation Systems , 2014, Big Data and Internet of Things.
[379] Kevin L. Moore,et al. Dynamic Consensus Networks with Application to the Analysis of Building Thermal Processes , 2011 .
[380] Xenofon D. Koutsoukos,et al. Online Model Learning of Buildings Using Stochastic Hybrid Systems Based on Gaussian Processes , 2017, J. Control. Sci. Eng..
[381] Boris G. Vega Lara,et al. Offset-free model predictive control for an energy efficient tropical island hotel , 2016 .
[382] John Bagterp Jørgensen,et al. A fast condensing method for solution of linear-quadratic control problems , 2013, 52nd IEEE Conference on Decision and Control.
[383] Patrizio Colaneri,et al. Hierarchical model predictive control , 2007, 2007 46th IEEE Conference on Decision and Control.
[384] Mikkel Baun Kjærgaard,et al. A Building Model Framework for a Genetic Algorithm Multi-objective Model Predictive Control , 2016 .
[385] Henrik Madsen,et al. Identifying suitable models for the heat dynamics of buildings , 2011 .
[386] Stephen J. Wright,et al. Optimization for Machine Learning , 2013 .
[387] Hao Huang,et al. Reducing energy consumption for buildings under system uncertainty through robust MPC with adaptive bound estimator , 2016 .
[388] Jiayuan Wang,et al. Model predictive control for thermal energy storage assisted large central cooling systems , 2019, Energy.
[389] Lukas Ferkl,et al. Ceiling radiant cooling: Comparison of ARMAX and subspace identification modelling methods , 2010 .
[390] Alistair B. Sproul,et al. Optimisation of energy management in commercial buildings with weather forecasting inputs: A review , 2014 .
[391] Nursyarizal Mohd Nor,et al. A review on optimized control systems for building energy and comfort management of smart sustainable buildings , 2014 .
[392] Frauke Oldewurtel,et al. Use of partial least squares within the control relevant identification for buildings , 2013 .
[393] Manfred Morari,et al. Scenario-based MPC for energy-efficient building climate control under weather and occupancy uncertainty , 2013, 2013 European Control Conference (ECC).