An Evolutionary Stacked Ensemble for Improving Accuracy and Computational Efficiency in Daily Photovoltaic Energy Prediction

This study presents a computationally efficient stacked ensemble model for daily photovoltaic energy prediction. The ensemble combines five base regressors: extreme gradient boosting, decision trees, random forests, neural networks, and k-nearest neighbors. A weighted linear combination merges these...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Bilal Rinchi, Sameer Al-Dahidi, Mohammed E. B. Abdalla, Osama Ayadi, Mohammad Alrbai
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	IEEE 2026-01-01
Цуврал:	IEEE Access
Нөхцлүүд:	Photovoltaic energy forecasting differential evolution optimization stacked ensemble learning loss function sustainable computing
Онлайн хандалт:	https://ieeexplore.ieee.org/document/11400713/
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!