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

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

doi:10.3389/fenrg.2022.1064305

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

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

^*Corresponding author for this work

Physics and Astronomy

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

4 Scopus citations

Original language	English (US)
Article number	1064305
Journal	Frontiers in Energy Research
Volume	10
DOIs	https://doi.org/10.3389/fenrg.2022.1064305
State	Published - Jan 13 2023

Funding

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

Keywords

aritifical intelligence
data-driven
energy system
power system
smart grid (SG) technologies

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.2022.1064305

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title = "Editorial: Advanced data-driven methods and applications for smart power and energy systems",

keywords = "aritifical intelligence, data-driven, energy system, power system, smart grid (SG) technologies",

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

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year = "2023",

month = jan,

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doi = "10.3389/fenrg.2022.1064305",

language = "English (US)",

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journal = "Frontiers in Energy Research",

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T1 - Editorial

T2 - Advanced data-driven methods and applications for smart power and energy systems

AU - Liu, Jun

AU - Jiao, Zaibin

AU - Chen, Chen

AU - Duan, Chao

AU - Pang, Chengzong

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

PY - 2023/1/13

Y1 - 2023/1/13

KW - aritifical intelligence

KW - data-driven

KW - energy system

KW - power system

KW - smart grid (SG) technologies

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U2 - 10.3389/fenrg.2022.1064305

DO - 10.3389/fenrg.2022.1064305

M3 - Editorial

AN - SCOPUS:85147101348

SN - 2296-598X

VL - 10

JO - Frontiers in Energy Research

JF - Frontiers in Energy Research

M1 - 1064305

ER -

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

Funding

Keywords

ASJC Scopus subject areas

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