Editorial: Advanced data-driven methods and applications for smart power and energy systems

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Authors
Liu, Jun
Jiao, Zaibin
Chen, Chen
Duan, Chao
Pang, Chengzong
Issue Date
2023-01-13
Type
Editorial
Language
en_US
Keywords
Data-driven , Aritifical intelligence , Power system , Energy system , Smart grid (SG) technologies
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Abstract

[No abstract available]

Description
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Citation
Liu J, Jiao Z, Chen C, Duan C and Pang C (2023) Editorial: Advanced data-driven methods and applications for smart power and energy systems. Front. Energy Res. 10:1064305. doi: 10.3389/fenrg.2022.1064305
Publisher
Frontiers Media S.A.
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DOI
ISSN
2296-598X
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