Guifu Zhu

Enhancing engineering time series forecasting: An uncertainty-calibrated feature modulation framework for robust multi-step ahead predictions

Accurate multi-step forecasting of engineering time series is challenging because real-world signals often exhibit evolving operating states, non-stationarity, noisy fluctuations, and long-range dependencies. Existing forecasters typically rely on shared deterministic representat...