Real-time scheduling of renewable power systems through planning-based reinforcement learning

no code implementations • 9 Mar 2023 • Shaohuai Liu, Jinbo Liu, Weirui Ye, Nan Yang, Guanglun Zhang, Haiwang Zhong, Chongqing Kang, Qirong Jiang, Xuri Song, Fangchun Di, Yang Gao

The well-trained scheduling agent significantly reduces renewable curtailment and load shedding, which are issues arising from traditional scheduling's reliance on inaccurate day-ahead forecasts.

reinforcement-learning Reinforcement Learning (RL) +1