Data-driven energy management system for smart buildings
This thesis explores innovative data-driven approaches to enhance energy management in smart buildings, addressing challenges through advanced deep reinforcement learning (DRL) methods. The thesis follows a logical progression, starting from the smallest unit of a smart building, a multi-energy smar...
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Format: | Thesis-Doctor of Philosophy |
Language: | English |
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Nanyang Technological University
2025
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Online Access: | https://hdl.handle.net/10356/182526 |
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Institution: | Nanyang Technological University |
Language: | English |
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