This paper is published in Volume-6, Issue-4, 2020
Area
Computer Engineering
Author
Disha A. P., Lahari T. K., G. Jananisri, Soniya R.
Org/Univ
Sai Vidya Institute of Technology, Bangalore, Karnataka, India
Keywords
Water, Demand, Machine Learning
Citations
IEEE
Disha A. P., Lahari T. K., G. Jananisri, Soniya R.. Water demand prediction using Machine Learning, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Disha A. P., Lahari T. K., G. Jananisri, Soniya R. (2020). Water demand prediction using Machine Learning. International Journal of Advance Research, Ideas and Innovations in Technology, 6(4) www.IJARIIT.com.
MLA
Disha A. P., Lahari T. K., G. Jananisri, Soniya R.. "Water demand prediction using Machine Learning." International Journal of Advance Research, Ideas and Innovations in Technology 6.4 (2020). www.IJARIIT.com.
Disha A. P., Lahari T. K., G. Jananisri, Soniya R.. Water demand prediction using Machine Learning, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Disha A. P., Lahari T. K., G. Jananisri, Soniya R. (2020). Water demand prediction using Machine Learning. International Journal of Advance Research, Ideas and Innovations in Technology, 6(4) www.IJARIIT.com.
MLA
Disha A. P., Lahari T. K., G. Jananisri, Soniya R.. "Water demand prediction using Machine Learning." International Journal of Advance Research, Ideas and Innovations in Technology 6.4 (2020). www.IJARIIT.com.
Abstract
Water is one of the 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 very much essential to analyze the requirement which indicates emergency state for water management decisions. The explores usage of water for dairy plants to understand the spatial and well as 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.