Machine Learning Dynamic Ensemble Methods for Solar Irradiance and Wind Speed Predictions

Machine Learning Dynamic Ensemble Methods for Solar Irradiance and Wind Speed Predictions

This paper proposes to analyze the performance increase in the forecasting of solar irradiance and wind speed by implementing a dynamic ensemble architecture for intra-hour horizon ranging from 10 to 60 min for a 10 min time step data. Global horizontal irradiance (GHI) and wind speed were computed...

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Bibliographic Details
Main Authors: Francisco Diego Vidal Bezerra, Felipe Pinto Marinho, Paulo Alexandre Costa Rocha, Victor Oliveira Santos, Jesse Van Griensven Thé, Bahram Gharabaghi
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Atmosphere
Subjects:
wind energy
solar energy
renewable energy
machine learning
forecasting ensembles
Online Access:https://www.mdpi.com/2073-4433/14/11/1635

Internet

https://www.mdpi.com/2073-4433/14/11/1635

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