Dec 9, 2022 · Furthermore, a confidence estimation method is proposed to reduce the prediction error of renewable energy. Meanwhile, a dispatching necessity ...

This paper proposes a confidence estimation Transformer for long-term renewable energy forecasting in reinforcement learning-based power grid dispatching ( ...

This paper proposes a confidence estimation Transformer for long-term renewable energy fore- casting in reinforcement learning-based power grid dispatching. ( ...

Apr 10, 2022 · Conformer-RLpatching predicts long-term active output of each renewable energy generator with an enhanced Transformer to boost the performance ...

Apr 10, 2022 · This paper proposes a confidence estimation Transformer for long-term renewable energy fore- casting in reinforcement learning-based power grid ...

Expansion of renewable energy could help realize the goals of peaking carbon dioxide emissions and carbon neutralization. Some existing grid dispatching ...

Confidence Estimation Transformer for Long-term Renewable Energy Forecasting in Reinforcement Learning-based Power Grid Dispatching · Published: 31 Dec 2021, ...

This paper proposes a confidence estimation Transformer for long-term renewable energy forecasting in reinforcement learning-based power grid dispatching ( ...

Apr 10, 2022 · 本文提出了一种置信度估计Transformer，用于基于强化学习的电网调度（Conformer-RLpatching）中的长期可再生能源预测。Conformer-RLpatching 使用增强型 ...

Confidence estimation transformer for long-term renewable energy forecasting in reinforcement learning-based power grid dispatching. X Li, N Yang, Z Li, Y ...