Short-Term Load Forecasting Based on VMD and Deep TCN-Based Hybrid Model with Self-Attention Mechanism

Short-Term Load Forecasting Based on VMD and Deep TCN-Based Hybrid Model with Self-Attention Mechanism

Due to difficulties with electric energy storage, balancing the supply and demand of the power grid is crucial for the stable operation of power systems. Short-term load forecasting can provide an early warning of excessive power consumption for utilities by formulating the generation, transmission...

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Bibliographic Details
Main Authors: Qingliang Xiong, Mingping Liu, Yuqin Li, Chaodan Zheng, Suhui Deng
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Applied Sciences
Subjects:
short-term load forecasting
variational modal decomposition
temporal convolutional network
long short-term memory
self-attention mechanism
Online Access:https://www.mdpi.com/2076-3417/13/22/12479

Internet

https://www.mdpi.com/2076-3417/13/22/12479

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