Enhanced Short-Term Load Forecasting: Error-Weighted and Hybrid Model Approach

Enhanced Short-Term Load Forecasting: Error-Weighted and Hybrid Model Approach

To tackle the challenges of high variability and low accuracy in short-term electricity load forecasting, this study introduces an enhanced prediction model that addresses overfitting issues by integrating an error-optimal weighting approach with an improved ensemble forecasting framework. The model...

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Bibliographic Details
Main Authors: Huiqun Yu, Haoyi Sun, Yueze Li, Chunmei Xu, Chenkun Du
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Energies
Subjects:
short-term power load forecasting
kernel principal component analysis
sparrow search algorithm
gated recurrent unit
time-domain convolutional networks
long short-term memory
Online Access:https://www.mdpi.com/1996-1073/17/21/5304
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https://www.mdpi.com/1996-1073/17/21/5304

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