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A Privacy-Preserving Federated Reinforcement Learning Method for Multiple Virtual Power Plants Scheduling

Year: 2024

Type: article

Source: IEEE Transactions on Circuits and Systems I Regular Papers

DOI: 10.1109/tcsi.2024.3479427

Authors: Ting Yang, Xiangwei Feng, Shaotang Cai, Yuqing Niu, Haibo Pen

Institutions: Tianjin University, State Grid Corporation of China (China), State Grid Chongqing Electric Power Company (China), Taiyuan Institute of Technology

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China

Awards: G4811552508, G500695806, G7276216031

OpenAlex ID: W4403758710

FWCI: 3.993

Cites: 39

Cited by: 27

Related to: 10