Building thermal modeling and model predictive control with physically consistent deep learning for decarbonization and energy optimization
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DOI: 10.1016/j.apenergy.2023.121165
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- 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).
- Hu, Guoqing & You, Fengqi, 2024. "AI-enabled cyber-physical-biological systems for smart energy management and sustainable food production in a plant factory," Applied Energy, Elsevier, vol. 356(C).
- Xu, Wenjie & Svetozarevic, Bratislav & Di Natale, Loris & Heer, Philipp & Jones, Colin N., 2024. "Data-driven adaptive building thermal controller tuning with constraints: A primal–dual contextual Bayesian optimization approach," Applied Energy, Elsevier, vol. 358(C).
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Keywords
Deep Learning; Physics Consistency; Model Predictive Control; Building Energy Efficiency Optimization; Decarbonization;All these keywords.
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