Power system data-driven dispatch using improved scenario generation considering time-series correlations

Power system data-driven dispatch using improved scenario generation considering time-series correlations

Reinforcement learning (RL) is recently studied for realizing fast and adaptive power system dispatch under the increasing penetration of renewable energy. RL has the limitation of relying on samples for agent training, and the application in power systems often faces the difficulty of insufficient...

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Bibliographic Details
Main Authors: Peng Li, Wenqi Huang, Lingyu Liang, Zhen Dai, Shang Cao, Huanming Zhang, Xiangyu Zhao, Jiaxuan Hou, Wenhao Ma, Liang Che
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Energy Research
Subjects:
power system dispatch
scenario generation
reinforcement learning
time series
generative adversarial network
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2023.1267713/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2023.1267713/full

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