Many countries have problems related to water scarcity and are thus seeking to promote greater water efficiency. A micro water grid (MWG) is a high-efficiency water management system that integrates information and communication technologies (ICT) for the water distribution systems in individual buildings. More accurate forecasting of hourly water demand is necessary if these systems are to function correctly and thus is the focus of this paper. Autoregressive integrated moving average (ARIMA) variant models were developed to create 24-hour lead-time forecasts. The forecast and observed values for both variant and traditional models were compared and developed models seem to perform well. It is therefore recommended to use linear stochastic models when developing MWGs for forecasting water demand to ensure sustainable water resource planning and management in MWG projects.
Skip Nav Destination
Article navigation
16 February 2016
This article was originally published in
Journal of Water Supply: Research and Technology-Aqua
Article Contents
Research Article|
August 03 2015
Hourly water demand forecasting for micro water grids Available to Purchase
Juneseok Lee;
Juneseok Lee
1Department of Civil and Environmental Engineering, San José State University, San José, CA 95112, USA and Department of Environmental Health and Safety, Eulji University, 212, Yangji-dong, Sujeong-gu, Seongnam-si, Gyeonggi-do 461-713, South Korea
Search for other works by this author on:
Soo-Kwon Chae
1Department of Civil and Environmental Engineering, San José State University, San José, CA 95112, USA and Department of Environmental Health and Safety, Eulji University, 212, Yangji-dong, Sujeong-gu, Seongnam-si, Gyeonggi-do 461-713, South Korea
E-mail: [email protected]
Search for other works by this author on:
Journal of Water Supply: Research and Technology-Aqua (2016) 65 (1): 12–17.
Article history
Received:
October 28 2014
Accepted:
July 02 2015
Citation
Juneseok Lee, Soo-Kwon Chae; Hourly water demand forecasting for micro water grids. Journal of Water Supply: Research and Technology-Aqua 16 February 2016; 65 (1): 12–17. doi: https://doi.org/10.2166/aqua.2015.144
Download citation file:
Sign in
Don't already have an account? Register
Client Account
You could not be signed in. Please check your email address / username and password and try again.
Could not validate captcha. Please try again.
eBook
Pay-Per-View Access
$38.00