A hybrid temporal convolutional network and Prophet model for power load forecasting

A hybrid temporal convolutional network and Prophet model for power load forecasting

Abstract Accurate and effective power system load forecasting is an important prerequisite for the safe and stable operation of the power grid and the normal production and operation of society. In recent years, convolutional neural networks (CNNs) have been widely used in time series prediction due...

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Bibliographic Details
Main Authors:	Jinyuan Mo, Rui Wang, Mengda Cao, Kang Yang, Xu Yang, Tao Zhang
Format:	Article
Language:	English
Published:	Springer 2022-12-01
Series:	Complex & Intelligent Systems
Subjects:	Power load forecasting Temporal convolutional network Prophet model Least square method
Online Access:	https://doi.org/10.1007/s40747-022-00952-x

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