24-Hours Demand Forecasting Based on SARIMA and Support Vector Machines

In time series analysis the autoregressive integrate moving average (ARIMA) models have been used for decades and in a wide variety of scientific applications. In recent years a growing popularity of machine learning algorithms like the artificial neural network (ANN) and support vector machine (SVM...

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Bibliographic Details
Published in:	Procedia engineering Vol. 89; pp. 926 - 933
Main Authors:	Braun, M., Bernard, T., Piller, O., Sedehizade, F.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 2014 Elsevier
Subjects:	calibration Engineering Sciences forecasting Machine Learning Mathematics prediction SARIMA Statistics support vector machine water demand water distribution network water demand support vector machine water distribution network SARIMA forecasting prediction calibration RESEAU DE DISTRIBUTION D'EAU DEMANDE EN EAU MODEL CALIBRATION WATER DISTRIBUTION SYSTEM CALAGE DE MODELE PREDICTION
ISSN:	1877-7058, 1877-7058
Online Access:	Get full text
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