Diving Deep into Short-Term Electricity Load Forecasting: Comparative Analysis and a Novel Framework

Diving Deep into Short-Term Electricity Load Forecasting: Comparative Analysis and a Novel Framework

In this article, we present an in-depth comparative analysis of the conventional and sequential learning algorithms for electricity load forecasting and optimally select the most appropriate algorithm for energy consumption prediction (ECP). ECP reduces the misusage and wastage of energy using mathe...

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Bibliographic Details
Main Authors:	Fath U Min Ullah, Noman Khan, Tanveer Hussain, Mi Young Lee, Sung Wook Baik
Format:	Article
Language:	English
Published:	MDPI AG 2021-03-01
Series:	Mathematics
Subjects:	energy consumption prediction machine learning sequential learning deep learning artificial intelligence smart grids
Online Access:	https://www.mdpi.com/2227-7390/9/6/611

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