Advanced automated machine learning framework for photovoltaic power output prediction using environmental parameters and SHAP interpretability

Accurate prediction of power output from a photovoltaic (PV) system is crucial for ensuring operational efficiency. This study addresses the challenge of predicting plant-scale PV power output by integrating automated machine learning (Auto-ML) with explainable modeling techniques. The integrated ap...

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Bibliographic Details

Main Authors:	Bakht, Muhammad Paend, Haji Mohd, Mohd Norzali, Ibrahim, Babul Salam KSM Kader, Khan, Nuzhat, Sheikh, Usman Ullah, Ab Rahman, Ab Al-Hadi
Format:	Article
Language:	en
Published:	elsevier 2025
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.uthm.edu.my/12669/1/J19346_940469a52b76749b933003eaa7a17848.pdf http://eprints.uthm.edu.my/12669/ https://doi.org/10.1016/j.rineng.2024.103838
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