An AI-Based Decision-Support Pipeline for Day-Ahead Photovoltaic Forecasting
A deployment-oriented environmental-AI pipeline for day-ahead hourly PV forecasting that corrects timestamp conventions, constructs leakage-safe solar-geometry and clearness-index features, adds short-term atmospheric context, and combines complementary predictors through validation-learned stacking is developed.