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:	Muhammad Paend Bakht, Mohd Norzali Haji Mohd, Babul Salam KSM Kader Ibrahim, Nuzhat Khan, Usman Ullah Sheikh, Ab Al-Hadi Ab Rahman
Format:	Article
Language:	English
Published:	Elsevier 2025-03-01
Series:	Results in Engineering
Subjects:	Solar photovoltaic Machine learning Artificial intelligence Power prediction Sustainable
Online Access:	http://www.sciencedirect.com/science/article/pii/S2590123024020814
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Advanced automated machine learning framework for photovoltaic power output prediction using environmental parameters and SHAP interpretability

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