Massively Digitized Power Grid: Opportunities and Challenges of Use-Inspired AI

This article presents a use-inspired perspective of the opportunities and challenges in a massively digitized power grid. It argues that the intricate interplay of data availability, computing capability, and artificial intelligence (AI) algorithm development are the three key factors driving the ad...

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Vydáno v:	Proceedings of the IEEE Ročník 111; číslo 7; s. 762 - 787
Hlavní autoři:	Xie, Le, Zheng, Xiangtian, Sun, Yannan, Huang, Tong, Bruton, Tony
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.07.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Témata:	Algorithms Artificial intelligence Artificial intelligence (AI) Computation Data models data-driven algorithms decarbonization Digitization Electric power grids industry use cases Low-carbon economy Machine learning power grid Power grids Power systems Reliability Renewable energy sources Security
ISSN:	0018-9219, 1558-2256
On-line přístup:	Získat plný text
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