3 papers
cs.LG2026
Quantifying Climate Change Impacts on Renewable Energy Generation: A Super-Resolution Recurrent Diffusion Model
Xiaochong Dong, Jun Dan, Yingyun Sun +3
Driven by global climate change and the ongoing energy transition, the coupling between power supply capabilities and meteorological factors has become increasingly significant. Ov…
cs.LG2025
A Data-driven Dynamic Temporal Correlation Modeling Framework for Renewable Energy Scenario Generation
Xiaochong Dong, Yilin Liu, Xuemin Zhang +1
Renewable energy power is influenced by the atmospheric system, which exhibits nonlinear and time-varying features. To address this, a dynamic temporal correlation modeling framewo…
cs.LG2024
STDHL: Spatio-Temporal Dynamic Hypergraph Learning for Wind Power Forecasting
Xiaochong Dong, Xuemin Zhang, Ming Yang +1
Leveraging spatio-temporal correlations among wind farms can significantly enhance the accuracy of ultra-short-term wind power forecasting. However, the complex and dynamic nature…