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Entropy 2013, 15(3), 926-942; doi:10.3390/e15030926
Article

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

1,* , 2
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 and 3
Received: 4 January 2013; in revised form: 8 February 2013 / Accepted: 20 February 2013 / Published: 27 February 2013
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Abstract: 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. The usage of mutual information (MI) has been recently proposed in regression tasks, mostly for feature selection and for identifying the real instances from training sets that contains noise and outliers. This paper proposes a methodology for the training set selection in a least squares support vector machines (LS-SVMs) load forecasting model. A new application of the concept of MI is presented for the selection of a training set based on MI computation between initial training set instances and testing set instances. Accordingly, several LS-SVMs models have been trained, based on the proposed methodology, for hourly prediction of electric load for one day ahead. The results obtained from a real-world data set indicate that the proposed method increases the accuracy of load forecasting as well as reduces the size of the initial training set needed for model training.
Keywords: input selection; mutual information; electric load forecasting; least squares support vector machines input selection; mutual information; electric load forecasting; least squares support vector machines
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Božić, M.; Stojanović, M.; Stajić, Z.; Floranović, N. Mutual Information-Based Inputs Selection for Electric Load Time Series Forecasting. Entropy 2013, 15, 926-942.

AMA Style

Božić M, Stojanović M, Stajić Z, Floranović N. Mutual Information-Based Inputs Selection for Electric Load Time Series Forecasting. Entropy. 2013; 15(3):926-942.

Chicago/Turabian Style

Božić, Miloš; Stojanović, Miloš; Stajić, Zoran; Floranović, Nenad. 2013. "Mutual Information-Based Inputs Selection for Electric Load Time Series Forecasting." Entropy 15, no. 3: 926-942.


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