A Physics-Informed Bayesian Framework for Calibrated, Multi-Horizon Forecasting of Solar, Wind, and Hybrid Renewable Generation
Renewable-generation forecasting is a probabilistic time-series problem in which point accuracy alone is insufficient for operational decision-making. This study proposes a physics-informed Bayesian framework for multi-horizon forecasting of solar, wind, and total renewable generation. The task is formulated as a 15-di...