Optimal demand response strategy of commercial building‐based virtual power plant using reinforcemen...
Optimal demand response strategy of commercial building‐based virtual power plant using reinforcement learning
About this item
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Author / Creator
Chen, Tao , Cui, Qiushi , Gao, Ciwei , Hu, Qinran , Lai, Kexing , Yang, Jianlin , Lyu, Ran , Zhang, Hao and Zhang, Jinyuan
Publisher
John Wiley & Sons, Inc
Journal title
Language
English
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Publication information
Publisher
John Wiley & Sons, Inc
Subjects
More information
Scope and Contents
Contents
In this paper, the optimal demand response strategy of a commercial building‐based virtual power plant with real‐world implementation in heavily urbanised area is studied. Instead of modelling the decision‐making process as an optimisation problem, a reinforcement learning method is used to seek the optimal strategy, which could update its performa...
Alternative Titles
Full title
Optimal demand response strategy of commercial building‐based virtual power plant using reinforcement learning
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_e2bd4b76036c49cbab4a31797f144dfa
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e2bd4b76036c49cbab4a31797f144dfa
Other Identifiers
ISSN
1751-8687
E-ISSN
1751-8695
DOI
10.1049/gtd2.12179
