Toward Artificial-Intelligence-Empowered Smarter Power Grid: Forecasting, Dispatch, and Control

被引：0

作者：

Shi, Di ^{[1
]}

Hu, Ruoyun ^{[2
]}

Wu, Yonghuan ^{[3
]}

Qiu, Huadong ^{[4
]}

Yang, Chao ^{[5
,6
]}

Niu, Mengyang ^{[6
]}

Xin, Yan ^{[6
]}

Yang, Yang ^{[7
]}

Wang, Zhiwei ^{[8
]}

He, Yubin ^{[9
]}

Wu, Guanzhen ^{[10
]}

Fan, Xiaoyi

Liu, Jiangchuan ^{[9
,10
]}

机构：

[1] New Mexico State Univ, Las Cruces, NM 88011 USA

[2] State Grid Zhejiang Elect Power Co Ltd, Hangzhou 310000, Peoples R China

[3] Alibaba Cloud Comp Co Ltd, Guangzhou 510320, Peoples R China

[4] State Grid Zhejiang Mkt Serv Ctr, Hangzhou 310000, Peoples R China

[5] Alibaba Damo Acad Technol Co Ltd, Hangzhou 310000, Peoples R China

[6] Alibaba Damo Acad Technol Co Ltd, Hangzhou 310000, Peoples R China

[7] Zhejiang Univ, Hangzhou 310000, Peoples R China

[8] State Grid Jiangsu Elect Power Co, Nanjing 510530, Peoples R China

[9] China Southern Power Grid, Guangzhou, BC V5A 1S6, Peoples R China

[10] Simon Fraser Univ, Burnaby, BC, Canada

来源：

IEEE POWER & ENERGY MAGAZINE | 2024年 / 22卷 / 06期

关键词：

D O I：

10.1109/MPE.2024.3408111

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The power grid, a lifeline of modern society, connects and delivers electrical energy to numerous devices and establishments. Its primary mandate is to ensure the dependable supply and efficient delivery of electrical power. To fulfill this mission, the grid undertakes a series of tasks, including forecasting, dispatching, and control.

引用

页码：57 / 65

页数：9

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