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: Barchi, T.M (Author), Converti, A. (Author), Dantas, D.A.P (Author), de Mattos Neto, P.S.G (Author), de Melo Filho, J.B (Author), de Oliveira, J.F.L (Author), Lima, A.R (Author), Madeiro, F. (Author), Marinho, M.H.N (Author), Pereira, A.C (Author), Santos, D.S.O., Jr (Author), Siqueira, H.V (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
heterogeneous ensemble dynamic selection model
neural networks
solar irradiance forecasting
Online Access:View Fulltext in Publisher

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