Short-Term Load Forecasting Algorithm Based on LST-TCN in Power Distribution Network

In this paper, a neural network model called Long Short-Term Temporal Convolutional Network (LST-TCN) model is proposed for short-term load forecasting. This model refers to the 1-D fully convolution network, causal convolution, and void convolution structure. In the convolution layer, a residual co...

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Bibliographic Details
Main Authors: Wanxing Sheng, Keyan Liu, Dongli Jia, Shuo Chen, Rongheng Lin
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/15/15/5584