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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Bibliographic Details
Main Author: Ding, Hongyuan
Other Authors: Xu Yan
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2025
Subjects:
Online Access:https://hdl.handle.net/10356/182526
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Institution: Nanyang Technological University
Language: English

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