Ensemble Machine Learning for Predicting the Power Output from Different Solar Photovoltaic Systems

Ensemble Machine Learning for Predicting the Power Output from Different Solar Photovoltaic Systems

In this paper, ensemble-based machine learning models with gradient boosting machine and random forest are proposed for predicting the power production from six different solar PV systems. The models are based on three year’s performance of a 1.2 MW grid-integrated solar photo-voltaic (PV) power pla...

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Bibliographic Details
Main Authors: Veena Raj, Sam-Quarcoo Dotse, Mathew Sathyajith, M. I. Petra, Hayati Yassin
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Energies
Subjects:
solar PV power prediction
machine learning
random forest
support vector machines
k-nearest neighbour
gradient boosting machine
Online Access:https://www.mdpi.com/1996-1073/16/2/671

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https://www.mdpi.com/1996-1073/16/2/671

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