Ultra Short-Term Charging Load Forecasting Based on Improved Data Decomposition and Hybrid Neural Network

Ultra Short-Term Charging Load Forecasting Based on Improved Data Decomposition and Hybrid Neural Network

Ultra-short-term charging load prediction is of crucial importance for the real-time scheduling and stable operation of power systems. To address the problem of the strong nonlinearity of power load sequences, this study proposes an ultra-short-term charging load prediction model that combines a Tim...

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Bibliographic Details
Main Authors: Shaoyang Yin, Zhaohui Chen, Wanyuan Liu, Zhiwen Su
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Ultra-short-term load prediction
variational mode decomposition (VMD)
time convolutional neural network (TCN)
osprey optimization algorithm (OOA) and combined model
Online Access:https://ieeexplore.ieee.org/document/10945330/
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https://ieeexplore.ieee.org/document/10945330/

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