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

5 citations · 5 across the 1 of their papers we have counts for

collaborators

2 papers

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…

eess.SY2021

A Credibility-aware Swarm-Federated Deep Learning Framework in Internet of Vehicles

Zhe Wang, Xinhang Li, Tianhao Wu +2

Federated Deep Learning (FDL) is helping to realize distributed machine learning in the Internet of Vehicles (IoV). However, FDL's global model needs multiple clients to upload lea…