Water Demand Prediction Using Support Vector Machine Regression

Title

Water Demand Prediction Using Support Vector Machine Regression

Creator

Tamang A.; Shukla S.

Description

Water is a critical resource for sustainable economic and social development of a country. To maintain health hygiene, energy agricultural products, and the environment management water plays a key role. Water demand prediction is essential to analyze the requirement that indicate emergency state for water management decisions. This paper explores the water usage data for dairy plants to understand the spatial and temporal patterns for future water requirements, to optimize the water demand estimation. It uses concept of Machine learning algorithms to compare and achieve an effective and reliable system for water prediction. 2019 IEEE.

Source

2019 International Conference on Data Science and Communication, IconDSC 2019

Date

2019-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Artificial Intelligence; Machine Learning; Support Vector Machine Regression; Water Demand Prediction

Coverage

Tamang A., Department of Computer Science and Engineering, Christ, Deemed to be University, Bangalore, India; Shukla S., Department of Computer Science and Engineering, Christ, Deemed to be University, Bangalore, India

Rights

Restricted Access

Relation

ISBN: 978-153869319-3

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/IconDSC.2019.8816969

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