Short-Term PV Power Forecasting Using a Regression-Based Ensemble Method

Short-Term PV Power Forecasting Using a Regression-Based Ensemble Method

One of the most critical aspects of integrating renewable energy sources into the smart grid is photovoltaic (PV) power generation forecasting. This ensemble forecasting technique combines several forecasting models to increase the forecasting accuracy of the individual models. This study proposes a...

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Bibliographic Details
Main Authors:	Andi A. H. Lateko, Hong-Tzer Yang, Chao-Ming Huang
Format:	Article
Language:	English
Published:	MDPI AG 2022-06-01
Series:	Energies
Subjects:	PV power forecasting ensemble method Random forest linear regression support vector machine clustering method
Online Access:	https://www.mdpi.com/1996-1073/15/11/4171

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