Physics-constrained cooperative learning-based reference models for smart management of chillers considering extrapolation scenarios
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DOI: 10.1016/j.apenergy.2023.121642
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References listed on IDEAS
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Cited by:
- Liang, Xing-Yu & Zhang, Bo & Zhang, Chun-Lu, 2024. "Physics-informed deep residual neural network for finned-tube evaporator performance prediction," Energy, Elsevier, vol. 302(C).
- Guo, Yanhua & Wang, Ningbo & Shao, Shuangquan & Huang, Congqi & Zhang, Zhentao & Li, Xiaoqiong & Wang, Youdong, 2024. "A review on hybrid physics and data-driven modeling methods applied in air source heat pump systems for energy efficiency improvement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 204(C).
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Keywords
Physics-constrained cooperative learning; Building energy systems; Deep learning; Smart management; Extrapolation ability;All these keywords.
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