Forecasting of Electric Load Using a Hybrid LSTM-Neural Prophet Model

Forecasting of Electric Load Using a Hybrid LSTM-Neural Prophet Model

Load forecasting (LF) is an essential factor in power system management. LF helps the utility maximize the utilization of power-generating plants and schedule them both reliably and economically. In this paper, a novel and hybrid forecasting method is proposed, combining a long short-term memory net...

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Bibliographic Details
Main Authors: Md Jamal Ahmed Shohan, Md Omar Faruque, Simon Y. Foo
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Energies
Subjects:
artificial intelligence
artificial neural network
load forecasting
long short-term memory
neural prophet
time series forecasting
Online Access:https://www.mdpi.com/1996-1073/15/6/2158

Internet

https://www.mdpi.com/1996-1073/15/6/2158

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