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
Main Authors:	Ming Wen, Bo Liu, Hao Zhong, Zongchao Yu, Changqing Chen, Xian Yang, Xueying Dai, Lisi Chen
Format:	Article
Language:	English
Published:	MDPI AG 2024-10-01
Subjects:	load forecasting sparrow optimization algorithm improved variational mode decomposition BiLSTM
Online Access:	https://www.mdpi.com/1996-1073/17/21/5280