Feasibility Study on the Influence of Data Partition Strategies on Ensemble Deep Learning: The Case of Forecasting Power Generation in South Korea

Feasibility Study on the Influence of Data Partition Strategies on Ensemble Deep Learning: The Case of Forecasting Power Generation in South Korea

Ensemble deep learning methods have demonstrated significant improvements in forecasting the solar panel power generation using historical time-series data. Although many studies have used ensemble deep learning methods with various data partitioning strategies, most have only focused on improving t...

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Bibliographic Details
Main Authors: Tserenpurev Chuluunsaikhan, Jeong-Hun Kim, Yoonsung Shin, Sanghyun Choi, Aziz Nasridinov
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Energies
Subjects:
solar panels
power generation
solar panels with weather
long short-term memory
data partition
Online Access:https://www.mdpi.com/1996-1073/15/20/7482

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https://www.mdpi.com/1996-1073/15/20/7482

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