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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…
cs.LG2024
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…