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Photovoltaic capacity dynamic tracking model predictive control strategy of air-conditioning systems with consideration of flexible loads. (2024). Feng, Meili ; Shi, Linyu ; Zhao, Jing ; Wang, Hongbin ; Li, Haonan ; Liu, Dehan ; Yang, Zilan ; Mi, Yumiao ; Hutagaol, Timothy Joseph.
In: Applied Energy.
RePEc:eee:appene:v:356:y:2024:i:c:s0306261923017944.

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  3. Energy-saving optimal control of secondary district cooling system based on tribal intelligent evolution optimization algorithm. (2025). Liu, Qimei ; Yang, Jianzhong ; Wang, Kui ; Yao, YE ; Hong, Xiaoxi.
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  4. An optimal dispatch strategy for 5G base stations equipped with battery swapping cabinets. (2025). Qi, Bing ; Li, Xiao ; Hu, Xiang ; Zhang, Deying.
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  7. Energy storage configuration method for distribution networks based on moment difference analysis. (2024). Wu, Junyong ; Wang, YI.
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  22. Long-term experimental evaluation and comparison of advanced controls for HVAC systems. (2024). Wang, Xuezheng ; Dong, Bing.
    In: Applied Energy.
    RePEc:eee:appene:v:371:y:2024:i:c:s0306261924010894.

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  23. Improved robust model predictive control for residential building air conditioning and photovoltaic power generation with battery energy storage system under weather forecast uncertainty. (2024). Hu, Zehuan ; Gao, Yuan ; Imaizumi, Taiji ; Mae, Masayuki ; Sun, Luning.
    In: Applied Energy.
    RePEc:eee:appene:v:371:y:2024:i:c:s0306261924010353.

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  24. A novel joint energy and demand management system for smart houses based on model predictive control, hybrid storage system and quality of experience concepts. (2024). da Costa, Paulo Renato ; Normey-Rico, Julio Elias ; Forte, Jose Diogo ; Gouvea, Guilherme Nascimento ; Naspolini, Amir.
    In: Applied Energy.
    RePEc:eee:appene:v:369:y:2024:i:c:s0306261924008493.

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  25. Establishment of LCZ-based urban building energy consumption dataset in hot and humid subtropical regions through a bottom-up method. (2024). Tian, Xiaoyu ; Liu, Liru ; Huang, Jiahao ; Zhang, Hanwen.
    In: Applied Energy.
    RePEc:eee:appene:v:368:y:2024:i:c:s0306261924008742.

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  26. Scalable energy management approach of residential hybrid energy system using multi-agent deep reinforcement learning. (2024). Wang, Zixuan ; Ran, YI ; Li, Yanxue ; Xu, Yang ; Xiao, FU.
    In: Applied Energy.
    RePEc:eee:appene:v:367:y:2024:i:c:s0306261924007979.

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  27. Bi-level optimal operations for grid operator and low-carbon building prosumers with peer-to-peer energy sharing. (2024). Wang, Xiaoyu ; Jin, Xiaolong ; Yu, Xiaodan ; Wei, Wei ; Liang, Shuo ; Jia, Hongjie ; Mu, Yunfei.
    In: Applied Energy.
    RePEc:eee:appene:v:359:y:2024:i:c:s0306261924001065.

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  28. Photovoltaic capacity dynamic tracking model predictive control strategy of air-conditioning systems with consideration of flexible loads. (2024). Feng, Meili ; Shi, Linyu ; Zhao, Jing ; Wang, Hongbin ; Li, Haonan ; Liu, Dehan ; Yang, Zilan ; Mi, Yumiao ; Hutagaol, Timothy Joseph.
    In: Applied Energy.
    RePEc:eee:appene:v:356:y:2024:i:c:s0306261923017944.

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  29. Energy optimization for HVAC systems in multi-VAV open offices: A deep reinforcement learning approach. (2024). Chen, Xiwen ; Vital, Natan ; Wang, Hao ; Duffy, Edward ; Razi, Abolfazl.
    In: Applied Energy.
    RePEc:eee:appene:v:356:y:2024:i:c:s030626192301718x.

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  30. How good are learning-based control v.s. model-based control for load shifting? Investigations on a single zone building energy system. (2023). Oneill, Zheng ; Fu, Yangyang ; Adetola, Veronica ; Xu, Shichao ; Zhu, QI.
    In: Energy.
    RePEc:eee:energy:v:273:y:2023:i:c:s036054422300467x.

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  31. Optimization of building demand flexibility using reinforcement learning and rule-based expert systems. (2023). Ma, Zhenjun ; Zhou, Xinlei ; Xue, Shan ; Du, Han.
    In: Applied Energy.
    RePEc:eee:appene:v:350:y:2023:i:c:s030626192301156x.

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  32. MERLIN: Multi-agent offline and transfer learning for occupant-centric operation of grid-interactive communities. (2023). Nagy, Zoltan ; Sankaranarayanan, Siva ; Nweye, Kingsley.
    In: Applied Energy.
    RePEc:eee:appene:v:346:y:2023:i:c:s0306261923006876.

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  33. Energy saving and indoor temperature control for an office building using tube-based robust model predictive control. (2023). Gao, Yuan ; Akashi, Yasunori ; Miyata, Shohei.
    In: Applied Energy.
    RePEc:eee:appene:v:341:y:2023:i:c:s0306261923004701.

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  34. The Impact of Thermo-Modernization and Forecast Regulation on the Reduction of Thermal Energy Consumption and Reduction of Pollutant Emissions into the Atmosphere on the Example of Prefabricated Buildings. (2022). Cieliski, Krzysztof ; Bielskus, Jonas ; Piotrowska-Woroniak, Joanna.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:8:p:2758-:d:790052.

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  35. Systematic Review on Deep Reinforcement Learning-Based Energy Management for Different Building Types. (2022). Shaqour, Ayas ; Hagishima, Aya.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:22:p:8663-:d:976978.

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  36. Multi-agent reinforcement learning dealing with hybrid action spaces: A case study for off-grid oriented renewable building energy system. (2022). Matsunami, Yuki ; Gao, Yuan ; Akashi, Yasunori ; Miyata, Shohei.
    In: Applied Energy.
    RePEc:eee:appene:v:326:y:2022:i:c:s0306261922012788.

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  37. A practical deep reinforcement learning framework for multivariate occupant-centric control in buildings. (2022). Peng, Yuzhen ; Lei, Yue ; Hasama, Takamasa ; Zhan, Sicheng ; Ono, Eikichi ; Chong, Adrian ; Zhang, Zhiang.
    In: Applied Energy.
    RePEc:eee:appene:v:324:y:2022:i:c:s0306261922010297.

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