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Journal of Zhejiang University SCIENCE C 1998 Vol.-1 No.-1 P.

http://doi.org/10.1631/FITEE.2000719


Smart grid dispatch powered by deep learning: a survey


Author(s):  Gang HUANG, Fei WU, Chuangxin GUO

Affiliation(s):  Zhejiang Lab, Hangzhou 311121, China; more

Corresponding email(s):   huanggang@zju.edu.cn, wufei@zju.edu.cn, guochuangxin@zju.edu.cn

Key Words:  Artificial intelligence, Deep learning, Power dispatch, Smart grid


Gang HUANG, Fei WU, Chuangxin GUO. Smart grid dispatch powered by deep learning: a survey[J]. Frontiers of Information Technology & Electronic Engineering, 1998, -1(-1): .

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Abstract: 
power dispatch is a core problem for smart grid 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 solution methods 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 artificial intelligence in various industries, deep learning becomes a promising direction for power engineering as well, and the research community begins to rethink the problem of power dispatch. This paper reviews the recent progress in smart grid dispatch from a deep learning perspective. Through this paper, we hope to advance not only the development of smart grids but also the ecosystem of artificial intelligence.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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