Multi-Step Ahead Short-Term Electricity Load Forecasting Using VMD-TCN and Error Correction Strategy

Multi-Step Ahead Short-Term Electricity Load Forecasting Using VMD-TCN and Error Correction Strategy

The electricity load forecasting plays a pivotal role in the operation of power utility companies precise forecasting and is crucial to mitigate the challenges of supply and demand in the smart grid. More recently, the hybrid models combining signal decomposition and artificial neural networks have...

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Bibliographic Details
Main Authors:	Fangze Zhou, Hui Zhou, Zhaoyan Li, Kai Zhao
Format:	Article
Language:	English
Published:	MDPI AG 2022-07-01
Series:	Energies
Subjects:	short-term load forecasting variational mode decomposition weighted permutation entropy temporal convolutional network error correction
Online Access:	https://www.mdpi.com/1996-1073/15/15/5375

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