Mutual Information-Based Inputs Selection for Electric Load Time Series Forecasting

Mutual Information-Based Inputs Selection for Electric Load Time Series Forecasting

Providing accurate load forecast to electric utility corporations is essential in order to reduce their operational costs and increase profits. Hence, training set selection is an important preprocessing step which has to be considered in practice in order to increase the accuracy of load forecasts....

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Bibliographic Details
Main Authors:	Nenad Floranović, Zoran Stajić, Miloš Božić, Miloš Stojanović
Format:	Article
Language:	English
Published:	MDPI AG 2013-02-01
Series:	Entropy
Subjects:	input selection mutual information electric load forecasting least squares support vector machines
Online Access:	http://www.mdpi.com/1099-4300/15/3/926

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