Solar Radiation Forecasting Using Machine Learning and Ensemble Feature Selection

Solar Radiation Forecasting Using Machine Learning and Ensemble Feature Selection

Accurate solar radiation forecasting is essential to operate power systems safely under high shares of photovoltaic generation. This paper compares the performance of several machine learning algorithms for solar radiation forecasting using endogenous and exogenous inputs and proposes an ensemble fe...

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Bibliographic Details
Main Authors: Edna S. Solano, Payman Dehghanian, Carolina M. Affonso
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Energies
Subjects:
ensemble feature selection
machine learning
photovoltaic generation
solar radiation forecasting
Online Access:https://www.mdpi.com/1996-1073/15/19/7049

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