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Editorial: Advanced data-driven methods and applications for smart power and energy systems
Liu, Jun Jiao, Zaibin Chen, Chen Duan, Chao Pang, Chengzong
Liu, Jun
Jiao, Zaibin
Chen, Chen
Duan, Chao
Pang, Chengzong
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Original Date
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Issue Date
2023-01-13
Type
Editorial
Genre
Keywords
Data-driven,Artificial intelligence,Power system,Energy system,Smart grid (SG) technologies
Subjects (LCSH)
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
Abstract
[No abstract available]
Table of Contents
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.
Publisher
Frontiers Media S.A.
Journal
Book Title
Series
Frontiers in Energy Research
Volume 10
Volume 10
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Archival Collection
PubMed ID
DOI
ISSN
2296-598X