Yue-Tong Zhao

Probabilistic short-term load forecasting via quantile regression transformer with learned calendar embeddings

Accurate probabilistic short-term load forecasting is essential for uncertainty-aware scheduling and reserve planning in modern power systems. Existing approaches rely on fixed calendar feature encodings — such as one-hot vectors or sinusoidal functions — that fail to capture semantic relationships among temporal varia...