Optimizing intelligent residential scheduling based on policy black box and adaptive clustering federated deep reinforcement learning

Optimizing intelligent residential scheduling based on policy black box and adaptive clustering federated deep reinforcement learning

In the context of user-side demand response, flexible resources in buildings such as air conditioners and electric vehicles are characterized by small individual capacities, large aggregate scales, and geographically dispersed distributions, necessitating integration by intelligence buildings (IRs)....

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Bibliographic Details
Main Authors:	Wei Zhang, Yiyang Li
Format:	Article
Language:	English
Published:	Elsevier 2025-02-01
Series:	Engineering Science and Technology, an International Journal
Subjects:	Strategy black-box Demand response Privacy preservation Deep reinforcement learning Federated learning
Online Access:	http://www.sciencedirect.com/science/article/pii/S2215098625000060
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