Open AccessPrediction and Analysis of Water Resources using Machine Learning Algorithm
Author(s) -
T K Sarakutty,
K. Ravikumar,
M. Hanumanthappa
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.b4509.129219
Subject(s) - water resources , support vector machine , process (computing) , computer science , key (lock) , natural resource , population , decision support system , demand forecasting , machine learning , data mining , operations research , engineering , ecology , demography , computer security , sociology , biology , operating system
Water demand prediction plays an important role in urban and environmental planning, ecological development, decision-making processes and optimum utilization of water resources. A precise water demand prediction has a key job in the forecasting, design, process, and organisation of water resources frameworks. The under stress natural resources and the ever increasing population size makes it dominant to accurately and efficiently forecast water demand in the urban area which is possible by applying data mining techniques on the huge volumes of available water data. This paper focuses on building precise predictive models for water demand prediction using support vector machine which takes care of the nonlinear changeability of water demand at diverse levels for optimal operations.