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

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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