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.
Fariba Dehghan, Sebastian Stein, V. Yazdanpanah et al.
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