Work

Energy management based on multi-agent deep reinforcement learning for a multi-energy industrial park

Year: 2022

Type: article

Source: Applied Energy

DOI: 10.1016/j.apenergy.2022.118636

Authors: Dafeng Zhu, Bo Yang, Yuxiang Liu, Zhaojian Wang, Kai Ma, Xinping Guan

Institutions: Ministry of Education of the People's Republic of China, Shanghai Jiao Tong University, Yanshan University

Language: English

Topic: Integrated Energy Systems Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

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

Open Access status: green

Funders: National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, National Key Research and Development Program of China

Awards: G161883977, G3229501008, G5935165963, G6389320175, G6691130240, G786060741, G8915768656

OpenAlex ID: W4211233998

FWCI: 5.199

Cites: 39

Cited by: 97

Related to: 10