Short-Term Power Load Forecasting Method Based on Improved Sparrow Search Algorithm, Variational Mode Decomposition, and Bidirectional Long Short-Term Memory Neural Network

A short-term power load forecasting method is proposed based on an improved Sparrow Search Algorithm (ISSA), Variational Mode Decomposition (VMD), and Bidirectional Long Short Term Memory (BiLSTM) neural network. First, the SSA is optimized by combining Tent chaotic mapping, reverse learning, and dy...

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Bibliographic Details

Published in:	Energies (Basel) Vol. 17; no. 21; p. 5280
Main Authors:	Wen, Ming, Liu, Bo, Zhong, Hao, Yu, Zongchao, Chen, Changqing, Yang, Xian, Dai, Xueying, Chen, Lisi
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.11.2024
Subjects:	Accuracy Algorithms Analysis BiLSTM Distribution (Probability theory) Forecasting Fourier transforms improved variational mode decomposition load forecasting Methods Neural networks Optimization sparrow optimization algorithm Time series Wavelet transforms
ISSN:	1996-1073, 1996-1073
Online Access:	Get full text
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