Regional Photovoltaic Power Forecasting Using Vector Autoregression Model in South Korea

Regional Photovoltaic Power Forecasting Using Vector Autoregression Model in South Korea

Renewable energy forecasting is a key for efficient resource use in terms of power generation and safe grid control. In this study, we investigated a short-term statistical forecasting model with 1 to 3 h horizons using photovoltaic operation data from 215 power plants throughout South Korea. A vect...

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Bibliographic Details
Main Authors: A-Hyun Jung, Dong-Hyun Lee, Jin-Young Kim, Chang Ki Kim, Hyun-Goo Kim, Yung-Seop Lee
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Energies
Subjects:
photovoltaic power
solar irradiance
cluster analysis
VAR
ARIMA
regional prediction
Online Access:https://www.mdpi.com/1996-1073/15/21/7853

Internet

https://www.mdpi.com/1996-1073/15/21/7853

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