Short-term load forecasting using machine learning and periodicity decomposition

Short-term load forecasting using machine learning and periodicity decomposition

The accuracy of electricity consumption forecasts is of paramount importance in energy planning, it provides strong support for the effective energy demand management. In this work, we proposed a load forecast through the decomposition of the historical time series in relation to the historical evol...

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Bibliographic Details
Main Authors:	Abdelkarim El khantach, Mohamed Hamlich, Nour eddine Belbounaguia
Format:	Article
Language:	English
Published:	AIMS Press 2019-06-01
Series:	AIMS Energy
Subjects:	load forecasting machine learning periodicity decomposition time series smart grid
Online Access:	https://www.aimspress.com/article/10.3934/energy.2019.3.382/fulltext.html

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