An Improved Short-Term Electricity Load Forecasting Method: The VMD–KPCA–xLSTM–Informer Model

An Improved Short-Term Electricity Load Forecasting Method: The VMD–KPCA–xLSTM–Informer Model

This paper proposes a hybrid forecasting method (VMD–KPCA–xLSTM–Informer) based on variational-mode decomposition (VMD), kernel principal component analysis (KPCA), extended long short-term memory network (xLSTM), and the Informer model. First, the method decomposes the original power load data and...

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Bibliographic Details
Main Authors: Jiawen You, Huafeng Cai, Dadian Shi, Liwei Guo
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Energies
Subjects:
short-term electricity load forecasting
variational-mode decomposition
hybrid neural network
Online Access:https://www.mdpi.com/1996-1073/18/9/2240
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