Experimental implementation of whole building MPC with zone based thermal comfort adjustments
暂无分享,去创建一个
[1] Lorenz T. Biegler,et al. Constraint handing and stability properties of model‐predictive control , 1994 .
[2] Lukas G. Swan,et al. Model predictive control for commercial buildings: trends and opportunities , 2016 .
[3] Julio J. Valdés,et al. Testing the accuracy of low-cost data streams for determining single-person office occupancy and their use for energy reduction of building services , 2017 .
[4] Jie Zhao,et al. Energyplus Model-based Predictive Control (epmpc) By Using Matlab/simulink And Mle+ , 2013, Building Simulation Conference Proceedings.
[5] C. Ren,et al. Numerical modelling of mean radiant temperature in high-density sub-tropical urban environment , 2016 .
[6] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[7] Thomas F. Edgar,et al. Building energy model reduction for model predictive control using OpenStudio , 2013, 2013 American Control Conference.
[8] 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.
[9] Zheng O'Neill,et al. Comparisons of inverse modeling approaches for predicting building energy performance , 2015 .
[10] Petru-Daniel Morosan,et al. Building temperature regulation using a distributed model predictive control , 2010 .
[11] Francesco Borrelli,et al. Model predictive control of radiant slab systems with evaporative cooling sources , 2015 .
[12] Shaojie Wang. Energy modeling of ground source heat pump vs. variable refrigerant flow systems in representative US climate zones , 2014 .
[13] F. Lindberg,et al. Different methods for estimating the mean radiant temperature in an outdoor urban setting , 2007 .
[14] Philip Haves,et al. Model predictive control for the operation of building cooling systems , 2010, Proceedings of the 2010 American Control Conference.
[15] Zheng Qin,et al. Development of a whole building model predictive control strategy for a LEED silver community college , 2016 .
[16] Yongsheng Lian,et al. Numerical simulation of phase change material composite wallboard in a multi-layered building envelope , 2012 .
[17] Francesco Borrelli,et al. Implementation of model predictive control for an HVAC system in a mid-size commercial building , 2014 .
[18] Koushik Kar,et al. BEES: Real-time occupant feedback and environmental learning framework for collaborative thermal management in multi-zone, multi-occupant buildings , 2016 .
[19] James W. Stoutenborough,et al. Scientists’ views and positions on global warming and climate change: A content analysis of congressional testimonies , 2015, Climatic Change.
[20] Jan F. Kreider,et al. Expert systems, neural networks and artificial intelligence applications in commercial building HVAC operations , 1992 .
[21] Andy Liaw,et al. Classification and Regression by randomForest , 2007 .
[22] Francesco Frontini,et al. The influence of various internal blinds on thermal comfort: A new method for calculating the mean radiant temperature in office spaces , 2012 .
[23] António E. Ruano,et al. Neural networks based predictive control for thermal comfort and energy savings in public buildings , 2012 .
[24] Tao Lu,et al. A hybrid numerical-neural-network model for building simulation: A case study for the simulation of unheated and uncooled indoor temperature , 2015 .
[25] Standard Ashrae. Thermal Environmental Conditions for Human Occupancy , 1992 .
[26] Yongfu Huang,et al. Drivers of rising global energy demand: The importance of spatial lag and error dependence , 2014 .
[27] Mesut Avci,et al. Demand Response-Enabled Model Predictive HVAC Load Control in Buildings using Real-Time Electricity Pricing , 2013 .
[28] Gregor P. Henze,et al. A model predictive control optimization environment for real-time commercial building application , 2013 .
[29] Dimitrios Gyalistras,et al. Intermediate complexity model for Model Predictive Control of Integrated Room Automation , 2013 .
[30] Frauke Oldewurtel,et al. Experimental analysis of model predictive control for an energy efficient building heating system , 2011 .
[31] Balaji Rajagopalan,et al. Model-predictive control of mixed-mode buildings with rule extraction , 2011 .
[32] Christian Ghiaus,et al. Optimal temperature control of intermittently heated buildings using Model Predictive Control: Part , 2012 .
[33] Alberto Hernandez Neto,et al. Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption , 2008 .
[34] Josh Wall,et al. Trial results from a model predictive control and optimisation system for commercial building HVAC , 2014 .
[35] Per Fahlén,et al. Estimation of operative temperature in buildings using artificial neural networks , 2006 .
[36] Ian Beausoleil-Morrison,et al. Shortest-prediction-horizon model-based predictive control for individual offices , 2014 .
[37] W Wim Zeiler,et al. Occupancy measurement in commercial office buildings for demand-driven control applications : a survey and detection system evaluation , 2015 .
[38] Ali C. Kheirabadi,et al. Stable, low-cost phase change material for building applications: The eutectic mixture of decanoic acid and tetradecanoic acid , 2016 .
[39] Student Member Ashrae,et al. Experimental Validation of the EnergyPius Low-Temperature Radiant Simulation , 2003 .
[40] Brian Coffey,et al. Approximating model predictive control with existing building simulation tools and offline optimization , 2013 .