Integration of heat production and thermal comfort models in microgrid operation planning
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Giuseppe Forte | Michele Trovato | B. Aluisio | Maria Dicorato | M. Trovato | B. Aluisio | M. Dicorato | G. Forte | G. Litrico | G. Litrico
[1] Hak-Man Kim,et al. Optimal Electric and Heat Energy Management of Multi-Microgrids with Sequentially-Coordinated Operations , 2016 .
[2] W. Beckman,et al. Solar Engineering of Thermal Processes: Duffie/Solar Engineering 4e , 2013 .
[3] Shahram Jadid,et al. Optimal electrical and thermal energy management of a residential energy hub, integrating demand response and energy storage system , 2015 .
[4] Christian Ghiaus,et al. Optimal temperature control of intermittently heated buildings using Model Predictive Control: Part I – Building modeling , 2012 .
[5] Stefano Cordiner,et al. A study on the energy management in domestic micro-grids based on Model Predictive Control strategies☆ , 2015 .
[6] Luca Ferrarini,et al. Temperature Control of a Commercial Building With Model Predictive Control Techniques , 2015, IEEE Transactions on Industrial Electronics.
[7] Tomaso Erseghe,et al. Power Flow Optimization for Smart Microgrids by SDP Relaxation on Linear Networks , 2013, IEEE Transactions on Smart Grid.
[8] Qun Chen,et al. Electrical circuit analogy for heat transfer analysis and optimization in heat exchanger networks , 2015 .
[9] R D Zimmerman,et al. MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education , 2011, IEEE Transactions on Power Systems.
[10] Risto Lahdelma,et al. Evaluation of a multiple linear regression model and SARIMA model in forecasting heat demand for district heating system , 2016 .
[11] Gilbert M. Masters,et al. Renewable and Efficient Electric Power Systems , 2004 .
[12] M. Lampinen,et al. Energy efficiency improvements utilising mass flow control and a ring topology in a district heating network , 2014 .
[13] Oriol Gomis-Bellmunt,et al. Trends in Microgrid Control , 2014, IEEE Transactions on Smart Grid.
[14] P. Kriett,et al. Optimal control of a residential microgrid , 2012 .
[15] Tao Jiang,et al. Dynamic economic dispatch of a hybrid energy microgrid considering building based virtual energy storage system , 2017 .
[16] Russell Bent,et al. Security-Constrained Design of Isolated Multi-Energy Microgrids , 2018, IEEE Transactions on Power Systems.
[17] V. I. Hanby,et al. UK office buildings archetypal model as methodological approach in development of regression models for predicting building energy consumption from heating and cooling demands , 2013 .
[18] Long Bao Le,et al. Energy Management for Households With Solar Assisted Thermal Load Considering Renewable Energy and Price Uncertainty , 2015, IEEE Transactions on Smart Grid.
[19] Load Flow , 2019, Electric Power Principles.
[20] Jun Wang,et al. An Online Optimal Dispatch Schedule for CCHP Microgrids Based on Model Predictive Control , 2017, IEEE Transactions on Smart Grid.
[21] S. Chowdhury,et al. Microgrids and Active Distribution Networks , 2009 .
[22] Hossam A. Gabbar,et al. Optimal planning of combined heat and power systems within microgrids , 2015 .
[23] Hassan Ghasemi,et al. Residential Microgrid Scheduling Based on Smart Meters Data and Temperature Dependent Thermal Load Modeling , 2014, IEEE Transactions on Smart Grid.
[24] Lino Guzzella,et al. EKF based self-adaptive thermal model for a passive house , 2014 .
[25] Peter Cappers,et al. Demand Response for Ancillary Services , 2013, IEEE Transactions on Smart Grid.
[26] Qian Ai,et al. A bi-level multi-objective optimal operation of grid-connected microgrids , 2016 .
[27] Jan Carmeliet,et al. Optimising urban energy systems: Simultaneous system sizing, operation and district heating network layout , 2016 .
[28] Zhihua Qu,et al. Distributed Real-Time Optimal Power Flow Control in Smart Grid , 2017, IEEE Transactions on Power Systems.
[29] Kevin M. Smith,et al. Forecasting energy consumption of multi-family residential buildings using support vector regression: Investigating the impact of temporal and spatial monitoring granularity on performance accuracy , 2014 .
[30] Mohammad Yusri Hassan,et al. A review on applications of ANN and SVM for building electrical energy consumption forecasting , 2014 .
[31] Luca A. Tagliafico,et al. Heating and cooling building energy demand evaluation; a simplified model and a modified degree days approach , 2014 .
[32] Frédéric Magoulès,et al. A review on the prediction of building energy consumption , 2012 .
[33] Chongqing Kang,et al. Optimal joint-dispatch of energy and reserve for CCHP-based microgrids , 2017 .
[34] Claudia Guattari,et al. In Situ Thermal Transmittance Measurements for Investigating Differences between Wall Models and Actual Building Performance , 2015 .
[35] Henrik Madsen,et al. Identifying suitable models for the heat dynamics of buildings , 2011 .
[36] Luhao Wang,et al. Integrated scheduling of energy supply and demand in microgrids under uncertainty: A robust multi-objective optimization approach , 2017 .
[37] Lieven Vandevelde,et al. Day-ahead unit commitment model for microgrids , 2017 .
[38] Hongjie Jia,et al. Hierarchical energy management system for multi-source multi-product microgrids , 2015 .
[39] Mohammad Shahidehpour,et al. Combined Heat and Power Dispatch Considering Pipeline Energy Storage of District Heating Network , 2016, IEEE Transactions on Sustainable Energy.
[40] Zhengwei Li,et al. Methods for benchmarking building energy consumption against its past or intended performance: An overview , 2014 .
[41] Gilbert M. Masters,et al. Renewable and Efficient Electric Power Systems: Masters/Electric Power Systems , 2004 .
[42] Hamdi Abdi,et al. A review of optimal power flow studies applied to smart grids and microgrids , 2017 .
[43] Sylvain Robert,et al. State of the art in building modelling and energy performances prediction: A review , 2013 .
[44] Maria Dicorato,et al. An optimization procedure for Microgrid day-ahead operation in the presence of CHP facilities , 2017 .
[45] Recep Yumrutaş,et al. Energy analysis and modeling of a solar assisted house heating system with a heat pump and an underground energy storage tank , 2012 .
[46] W. Beckman,et al. Solar Engineering of Thermal Processes , 1985 .
[47] Pierluigi Siano,et al. Optimal day ahead scheduling of combined heat and power units with electrical and thermal storage considering security constraint of power system , 2017 .
[48] Eric S. Fraga,et al. An energy integrated, multi-microgrid, MILP (mixed-integer linear programming) approach for residential distributed energy system planning – A South Australian case-study , 2015 .
[49] Nelson Fumo,et al. A review on the basics of building energy estimation , 2014 .
[50] Amjad Anvari-Moghaddam,et al. Optimal Smart Home Energy Management Considering Energy Saving and a Comfortable Lifestyle , 2016, IEEE Transactions on Smart Grid.
[51] Huajie Huang,et al. Experimental and numerical research of thermal stratification with a novel inlet in a dynamic hot water storage tank , 2017 .
[52] Jeong Tai Kim,et al. Energy performance of direct expansion air handling unit in office buildings , 2014 .
[53] Chongqing Kang,et al. Corrective receding horizon scheduling of flexible distributed multi-energy microgrids , 2017 .
[54] Hamid Shaker,et al. Short-term electricity load forecasting of buildings in microgrids , 2015 .
[55] Mario Vasak,et al. Modular energy cost optimization for buildings with integrated microgrid , 2017 .
[56] Michael White,et al. Energy planning and forecasting approaches for supporting physical improvement strategies in the building sector: A review , 2016 .
[57] Long Bao Le,et al. Optimal Bidding Strategy for Microgrids Considering Renewable Energy and Building Thermal Dynamics , 2014, IEEE Transactions on Smart Grid.
[58] Giuseppe Tommaso Costanzo,et al. Power Admission Control With Predictive Thermal Management in Smart Buildings , 2015, IEEE Transactions on Industrial Electronics.
[59] Radiša Jovanović,et al. Ensemble of various neural networks for prediction of heating energy consumption , 2015 .
[60] Kody M. Powell,et al. Heating, cooling, and electrical load forecasting for a large-scale district energy system , 2014 .
[61] V. Ismet Ugursal,et al. Modeling of end-use energy consumption in the residential sector: A review of modeling techniques , 2009 .
[62] Zaijun Wu,et al. Modeling, planning and optimal energy management of combined cooling, heating and power microgrid: A review , 2014 .
[63] S. M. Hakimi,et al. Optimal Planning of a Smart Microgrid Including Demand Response and Intermittent Renewable Energy Resources , 2014, IEEE Transactions on Smart Grid.
[64] Liuchen Chang,et al. Multiagent-Based Hybrid Energy Management System for Microgrids , 2014, IEEE Transactions on Sustainable Energy.
[65] Ryozo Ooka,et al. Metaheuristic optimization methods for a comprehensive operating schedule of battery, thermal energy storage, and heat source in a building energy system , 2015 .
[66] Laure Itard,et al. Energy performance and comfort in residential buildings: Sensitivity for building parameters and occupancy , 2015 .
[67] Grzegorz Dudek. Pattern-based local linear regression models for short-term load forecasting , 2016 .
[68] Michela Chiogna,et al. A comprehensive experimental approach for the validation of quantitative infrared thermography in the evaluation of building thermal transmittance , 2015 .
[69] Nengling Tai,et al. Energy regulating and fluctuation stabilizing by air source heat pump and battery energy storage system in microgrid , 2016 .
[70] Rita Streblow,et al. Decentralized scheduling strategy of heating systems for balancing the residual load , 2015 .
[71] Alejandro Garces,et al. A Linear Three-Phase Load Flow for Power Distribution Systems , 2016, IEEE Transactions on Power Systems.
[72] Ercan Atam,et al. Current software barriers to advanced model-based control design for energy-efficient buildings , 2017 .
[73] Wenjie Zhang,et al. Distributed Model-Predictive Real-Time Optimal Operation of a Network of Smart Microgrids , 2019, IEEE Transactions on Smart Grid.