title: Urban Water Demand Forecasting and Comparative Analysis by Artificial Neural Networks, Support Vector Machines and Box-Jenkins Methods
abstract: Water demand forecasting is currently being used in many fields such as the investment planning, the design of the water systems (treatment plants, storage, transmission and distribution lines), the operation of existing systems at optimal capacity, calculation of operation and investment costs, and determination of urban water management policies (pricing policy, water conservation, etc.). Therefore, it can be said that an accurate water demand forecast has a key role in the planning, design, o
journal: Business and Economics Research Journal