Two-Stage Short-Term Power Load Forecasting Based on RFECV Feature Selection Algorithm and a TCN–ECA–LSTM Neural Network

Two-Stage Short-Term Power Load Forecasting Based on RFECV Feature Selection Algorithm and a TCN–ECA–LSTM Neural Network

To solve the problem of feature selection and error correction after mode decomposition and improve the ability of power load forecasting models to capture complex time series information, a two-stage short-term power load forecasting method based on recursive feature elimination with a cross valida...

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Bibliographic Details
Main Authors:	Hui Liang, Jiahui Wu, Hua Zhang, Jian Yang
Format:	Article
Language:	English
Published:	MDPI AG 2023-02-01
Series:	Energies
Subjects:	load forecasting temporal convolutional network efficient channel attention recursive feature elimination with cross validation long short-term memory
Online Access:	https://www.mdpi.com/1996-1073/16/4/1925

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