most citedConfidence Estimation Transformer for Long-term Renewable Energy Forecasting in Reinforcement Learning-based Power Grid Dispatching

5 citations · 8 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AI2023★ 3 cited

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

Shaohuai Liu, Jinbo Liu, Weirui Ye +8

The growing renewable energy sources have posed significant challenges to traditional power scheduling. It is difficult for operators to obtain accurate day-ahead forecasts of rene…

cs.LG2022★ 5 cited

Confidence Estimation Transformer for Long-term Renewable Energy Forecasting in Reinforcement Learning-based Power Grid Dispatching

Xinhang Li, Zihao Li, Nan Yang +7

The expansion of renewable energy could help realizing the goals of peaking carbon dioxide emissions and carbon neutralization. Some existing grid dispatching methods integrating s…