A Novel Ensemble Algorithm for Solar Power Forecasting Based on Kernel Density Estimation

A Novel Ensemble Algorithm for Solar Power Forecasting Based on Kernel Density Estimation

A novel ensemble algorithm based on kernel density estimation (KDE) is proposed to forecast distributed generation (DG) from renewable energy sources (RES). The proposed method relies solely on publicly available historical input variables (e.g., meteorological forecasts) and the corresponding local...

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Bibliographic Details
Main Authors: Mohamed Lotfi, Mohammad Javadi, Gerardo J. Osório, Cláudio Monteiro, João P. S. Catalão
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Energies
Subjects:
forecasting
ensemble methods
kernel density estimation
smart grids
distributed generation
solar pv
Online Access:https://www.mdpi.com/1996-1073/13/1/216

Internet

https://www.mdpi.com/1996-1073/13/1/216

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