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dc.contributor.authorLiu, Jun
dc.contributor.authorJiao, Zaibin
dc.contributor.authorChen, Chen
dc.contributor.authorDuan, Chao
dc.contributor.authorPang, Chengzong
dc.date.accessioned2023-02-06T21:46:05Z
dc.date.available2023-02-06T21:46:05Z
dc.date.issued2023-01-13
dc.identifier.citationLiu 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
dc.identifier.issn2296-598X
dc.identifier.urihttps://www.frontiersin.org/articles/10.3389/fenrg.2022.1064305
dc.identifier.urihttps://soar.wichita.edu/handle/10057/24996
dc.descriptionThis 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.
dc.description.abstract[No abstract available]
dc.description.sponsorshipThis study was supported by the National Natural Science Foundation of China (No. 52177111).
dc.language.isoen_US
dc.publisherFrontiers Media S.A.
dc.relation.ispartofseriesFrontiers in Energy Research
dc.relation.ispartofseriesVolume 10
dc.subjectData-driven
dc.subjectAritifical intelligence
dc.subjectPower system
dc.subjectEnergy system
dc.subjectSmart grid (SG) technologies
dc.titleEditorial: Advanced data-driven methods and applications for smart power and energy systems
dc.typeEditorial
dc.rights.holder© 2023 Liu, Jiao, Chen, Duan and Pang.


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