Frontiers of Information Technology & Electronic Engineering
>> 2022,
Volume 23,
Issue 5
doi:
10.1631/FITEE.2000719
Smart grid dispatch powered by deep learning: a survey
Affiliation(s): Zhejiang Lab, Hangzhou 311121, China; College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China; College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China; less
Received: 2020-12-24
Accepted: 2022-05-19
Available online: 2022-05-19
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Abstract
is a core problem for operations. It aims to provide optimal operating points within a transmission network while power demands are changing over space and time. This function needs to be run every few minutes throughout the day; thus, a fast, accurate solution is of vital importance. However, due to the complexity of the problem, reliable and computationally efficient solutions are still under development. This issue will become more urgent and complicated as the integration of intermittent renewable energies increases and the severity of uncertain disasters gets worse. With the recent success of in various industries, becomes a promising direction for power engineering as well, and the research community begins to rethink the problem of . This paper reviews the recent progress in dispatch from a perspective. Through this paper, we hope to advance not only the development of s but also the ecosystem of .
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