Empirical mode decomposition-least squares support vector machine based for water demand forecasting

• Main Authors: Shabri, Ani, Samsudin, Ruhaidah
• Format: Article
• Published: International Center for Scientific Research and Studies (ICSRS) 2015
• Subjects: Q Science (General)
• Online Access: http://eprints.utm.my/id/eprint/54990/

Accurate forecast of water demand is one of the main problems in developing management strategy for the optimal control of water supply system. In this paper, a hybrid model which combines empirical mode decomposition (EMD) and least square support vector machine (LSSVM) model is proposed to forecas...