Ultra-Short-Term Load Demand Forecast Model Framework Based on Deep Learning

Ultra-Short-Term Load Demand Forecast Model Framework Based on Deep Learning

Ultra-short-term load demand forecasting is significant to the rapid response and real-time dispatching of the power demand side. Considering too many random factors that affect the load, this paper combines convolution, long short-term memory (LSTM), and gated recurrent unit (GRU) algorithms to pro...

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Bibliographic Details
Main Authors: Hongze Li, Hongyu Liu, Hongyan Ji, Shiying Zhang, Pengfei Li
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Energies
Subjects:
ultra-short-term load forecast
convolution
long short-term memory
gate recurrent unit
Online Access:https://www.mdpi.com/1996-1073/13/18/4900

Internet

https://www.mdpi.com/1996-1073/13/18/4900

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