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

School of Electrical Engineering

Research output: Contribution to journal › Editorial

4 Scopus citations

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

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

Access to Document

10.3389/fenrg.2022.1064305

Cite this

@article{4690c80512aa451091d1e809471748e9,

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",

year = "2023",

month = jan,

day = "13",

doi = "10.3389/fenrg.2022.1064305",

language = "英语",

volume = "10",

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 power and energy systems

AU - Liu, Jun

AU - Jiao, Zaibin

AU - Chen, Chen

AU - Duan, Chao

AU - Pang, Chengzong

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

UR - https://www.scopus.com/pages/publications/85147101348

U2 - 10.3389/fenrg.2022.1064305

DO - 10.3389/fenrg.2022.1064305

M3 - 社论

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

UN SDGs

Keywords

Access to Document

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Cite this