Site demonstration and performance evaluation of MPC for a large chiller plant with TES for renewable energy integration and grid decarbonization
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DOI: 10.1016/j.apenergy.2022.119343
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- Daishi Sagawa & Kenji Tanaka, 2023. "Machine Learning-Based Estimation of COP and Multi-Objective Optimization of Operation Strategy for Heat Source Considering Electricity Cost and On-Site Consumption of Renewable Energy," Energies, MDPI, vol. 16(13), pages 1-26, June.
- Xiao, Tianqi & You, Fengqi, 2024. "Physically consistent deep learning-based day-ahead energy dispatching and thermal comfort control for grid-interactive communities," Applied Energy, Elsevier, vol. 353(PB).
- Chen, Qi & Kuang, Zhonghong & Liu, Xiaohua & Zhang, Tao, 2024. "Application-oriented assessment of grid-connected PV-battery system with deep reinforcement learning in buildings considering electricity price dynamics," Applied Energy, Elsevier, vol. 364(C).
- Muqing Wu & Qingsu He & Yuping Liu & Ziqiang Zhang & Zhongwen Shi & Yifan He, 2022. "Machine Learning Techniques for Decarbonizing and Managing Renewable Energy Grids," Sustainability, MDPI, vol. 14(21), pages 1-13, October.
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Keywords
MPC demonstration; Building optimal control; Model predictive control; District energy system; Carbon reduction; Renewable energy;All these keywords.
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