Editorial: Advanced data-driven methods and applications for smart grid

Jun Liu; Chao Duan; Chengzong Pang; Chen Chen; Zaibin Jiao

doi:10.3389/fenrg.2023.1183524

Editorial: Advanced data-driven methods and applications for smart grid

Jun Liu^*, Chao Duan, Chengzong Pang, Chen Chen, Zaibin Jiao

^*Corresponding author for this work

Physics and Astronomy

Research output: Contribution to journal › Editorial › peer-review

Original language	English (US)
Article number	1183524
Journal	Frontiers in Energy Research
Volume	11
DOIs	https://doi.org/10.3389/fenrg.2023.1183524
State	Published - 2023

Funding

This study was supported by the National Natural Science Foundation of China (No. 52177111).

Keywords

artificial intelligence
data-driven
power and energy systems
smart grid
sustainability

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment
Fuel Technology
Energy Engineering and Power Technology
Economics and Econometrics

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10.3389/fenrg.2023.1183524

Cite this

@article{d62723450a4a4b87bb069589c1efb718,

title = "Editorial: Advanced data-driven methods and applications for smart grid",

keywords = "artificial intelligence, data-driven, power and energy systems, smart grid, sustainability",

author = "Jun Liu and Chao Duan and Chengzong Pang and Chen Chen and Zaibin Jiao",

note = "Funding Information: This study was supported by the National Natural Science Foundation of China (No. 52177111). ",

year = "2023",

doi = "10.3389/fenrg.2023.1183524",

language = "English (US)",

volume = "11",

journal = "Frontiers in Energy Research",

issn = "2296-598X",

publisher = "Frontiers Media SA",

}

TY - JOUR

T1 - Editorial

T2 - Advanced data-driven methods and applications for smart grid

AU - Liu, Jun

AU - Duan, Chao

AU - Pang, Chengzong

AU - Chen, Chen

AU - Jiao, Zaibin

N1 - Funding Information: This study was supported by the National Natural Science Foundation of China (No. 52177111).

PY - 2023

Y1 - 2023

KW - artificial intelligence

KW - data-driven

KW - power and energy systems

KW - smart grid

KW - sustainability

UR - http://www.scopus.com/inward/record.url?scp=85159876609&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85159876609&partnerID=8YFLogxK

U2 - 10.3389/fenrg.2023.1183524

DO - 10.3389/fenrg.2023.1183524

M3 - Editorial

AN - SCOPUS:85159876609

SN - 2296-598X

VL - 11

JO - Frontiers in Energy Research

JF - Frontiers in Energy Research

M1 - 1183524

ER -

Editorial: Advanced data-driven methods and applications for smart grid

Funding

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this