Z.-R. Shu

Diffusion-enhanced representation learning with a parameterized Markov chain for short-term wind speed forecasting

A Diffusion-Encoder framework is proposed that reformulates forecasting as a conditional diffusion-based generative process and serves as a model-agnostic enhancement layer for existing forecasting architectures, thus providing a practical approach for improving forecasting robustness and data efficiency under complex...