Tsvetelina Stefanova

A generalized machine learning approach for multi-site solar power forecasting using histogram-based gradient boosting

A Generalized Capacity Factor machine learning framework capable of predicting the power output of numerous distinct solar arrays using a single unified model is proposed, offering grid operators a scalable, high-accuracy, and computationally efficient tool for managing decentralized renewable energy resources.