Research on renewable energy power demand forecasting method based on IWOA-SA-BILSTM modeling

Research on renewable energy power demand forecasting method based on IWOA-SA-BILSTM modeling

This paper introduces a novel coupling method to enhance the precision of short- and medium-term renewable energy power load demand forecasting. Firstly, the Tent chaotic mapping incorporates the standard WOA and modifies its internal convergence factor to a nonlinear convergence mode, resulting in...

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Bibliographic Details
Main Authors: Minghu Wang, Yushuo Xia, Xinsheng Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Energy Research
Subjects:
bi-directional long and short-term memory neural networks
whale optimization algorithm
multidimensional feature analysis
simulated annealing algorithm
load demand forecasting
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2023.1331076/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2023.1331076/full

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