A Novel Electrical Load Forecasting Model for Extreme Weather Events Based on Improved Gated Spiking Neural P Systems and Frequency Enhanced Channel Attention Mechanism

A Novel Electrical Load Forecasting Model for Extreme Weather Events Based on Improved Gated Spiking Neural P Systems and Frequency Enhanced Channel Attention Mechanism

Accurate short-term load forecasting (LF) under extreme weather is vital for the sustainable development of energy systems. This paper proposes a basic framework for future load forecasting researches of sustainable energy systems under extreme weather events and provides new direction for membrane...

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Bibliographic Details
Main Authors: Yuanshuo Guo, Jun Wang, Yan Zhong, Tao Wang, Zeyuan Sui
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Short-term load forecasting
extreme weather events
gated spiking neural P
frequency enhanced channel attention mechanism
temporal convolutional network
informer
Online Access:https://ieeexplore.ieee.org/document/10820532/
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https://ieeexplore.ieee.org/document/10820532/

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