Solar Irradiance Forecasting Using Dynamic Ensemble Selection

Solar Irradiance Forecasting Using Dynamic Ensemble Selection

Solar irradiance forecasting has been an essential topic in renewable energy generation. Forecasting is an important task because it can improve the planning and operation of photovoltaic systems, resulting in economic advantages. Traditionally, single models are employed in this task. However, issu...

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Bibliographic Details
Main Authors: Domingos S. de O. Santos, Paulo S. G. de Mattos Neto, João F. L. de Oliveira, Hugo Valadares Siqueira, Tathiana Mikamura Barchi, Aranildo R. Lima, Francisco Madeiro, Douglas A. P. Dantas, Attilio Converti, Alex C. Pereira, José Bione de Melo Filho, Manoel H. N. Marinho
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Applied Sciences
Subjects:
solar irradiance forecasting
heterogeneous ensemble dynamic selection model
neural networks
Online Access:https://www.mdpi.com/2076-3417/12/7/3510

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https://www.mdpi.com/2076-3417/12/7/3510

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