Editorial: Machine learning to support low carbon energy transition

Frontiers in Energy Research

Energy Research

Kang Li¹  Haochen Hua²  Haoxing Wu²  Zhao Yang Dong³  Jun Shen⁴ 

[1] College of Electronic and Electrical Engineering, University of Leeds, Leeds, United Kingdom;College of Energy and Electrical Engineering, Hohai University, Nanjing, China;College of Engineering, Nanyang Technological University, Singapore, Singapore;College of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing, China;

关键词: low carbon;    machine learning;    renewable energy;    load forecasting;    cybersecurity;   

DOI  :  10.3389/fenrg.2023.1175280

 received in 2023-02-27, accepted in 2023-03-24,  发布年份 2023

来源: Frontiers

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Copyright © 2023 Hua, Wu, Shen, Li and Dong.