A Deep Neural Network Model for Short-Term Load Forecast Based on Long Short-Term Memory Network and Convolutional Neural Network

Accurate electrical load forecasting is of great significance to help power companies in better scheduling and efficient management. Since high levels of uncertainties exist in the load time series, it is a challenging task to make accurate short-term load forecast (STLF). In recent years, deep lear...

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Bibliographic Details
Main Authors: Chujie Tian, Jian Ma, Chunhong Zhang, Panpan Zhan
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/11/12/3493