Use of a Big Data Analysis in Regression of Solar Power Generation on Meteorological Variables for a Korean Solar Power Plant

Use of a Big Data Analysis in Regression of Solar Power Generation on Meteorological Variables for a Korean Solar Power Plant

This study identified the meteorological variables that significantly impact the power generation of a solar power plant in Samcheonpo, Korea. To this end, multiple regression models were developed to estimate the power generation of the solar power plant with changing weather conditions. The meteor...

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Bibliographic Details
Main Authors: Young Seo Kim, Han Young Joo, Jae Wook Kim, So Yun Jeong, Joo Hyun Moon
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Applied Sciences
Subjects:
solar power plant
Samcheonpo
meteorological data
big data
regression model
Online Access:https://www.mdpi.com/2076-3417/11/4/1776

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