A data-driven load forecasting method for incentive demand response

A data-driven load forecasting method for incentive demand response

The participation of incentive demand response (IDR) can improve power grid flexibility, and reduce peak shaving pressure. However, the further development of incentive demand response services will be limited by the uncertainty of user response behavior. To tackle this problem, this paper proposes...

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Bibliographic Details
Main Authors: Haixin Wang, Jiahui Yuan, Guanqiu Qi, Yanzhen Li, Junyou Yang, Henan Dong, Yiming Ma
Format: Article
Language:English
Published: Elsevier 2022-07-01
Series:Energy Reports
Subjects:
User behavior forecasting
Power big data
Data-driven
Incentive demand response
Power market
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722002323

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http://www.sciencedirect.com/science/article/pii/S2352484722002323

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