Short-Term Energy Forecasting Using Machine-Learning-Based Ensemble Voting Regression

Short-Term Energy Forecasting Using Machine-Learning-Based Ensemble Voting Regression

Meeting the required amount of energy between supply and demand is indispensable for energy manufacturers. Accordingly, electric industries have paid attention to short-term energy forecasting to assist their management system. This paper firstly compares multiple machine learning (ML) regressors du...

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Bibliographic Details
Main Authors: Pyae-Pyae Phyo, Yung-Cheol Byun, Namje Park
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Symmetry
Subjects:
energy consumption
energy forecasting
extra trees regressor
ensemble voting regressor
forecasting accuracy
K neighbors regressor
Online Access:https://www.mdpi.com/2073-8994/14/1/160

Internet

https://www.mdpi.com/2073-8994/14/1/160

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