Forecasting Short-Term Electricity Load Using Validated Ensemble Learning

Forecasting Short-Term Electricity Load Using Validated Ensemble Learning

As short-term load forecasting is essential for the day-to-day operation planning of power systems, we built an ensemble learning model to perform such forecasting for Thai data. The proposed model uses voting regression (VR), producing forecasts with weighted averages of forecasts from five individ...

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Bibliographic Details
Main Authors: Chatum Sankalpa, Somsak Kittipiyakul, Seksan Laitrakun
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Energies
Subjects:
short-term load forecasting
time series forecasting model validation
ensemble learning
accuracy improvement
Thailand EGAT dataset
Online Access:https://www.mdpi.com/1996-1073/15/22/8567

Internet

https://www.mdpi.com/1996-1073/15/22/8567

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