Hourly water demand forecasting for micro water grids

Abstract

Research Article| August 03 2015 Hourly water demand forecasting for micro water grids 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: This Site PubMed Google Scholar Soo-Kwon Chae 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: cskwen@eulji.ac.kr Search for other works by this author on: This Site PubMed Google Scholar Journal of Water Supply: Research and Technology-Aqua (2016) 65 (1): 12–17. https://doi.org/10.2166/aqua.2015.144 Article history Received: October 28 2014 Accepted: July 02 2015 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Cite Icon Cite Permissions Search Site Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThis Journal Search Advanced Search 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: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex 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. autoregressive integrated moving average (ARIMA), hourly water demand, micro water grid (MWG) © IWA Publishing 2016 You do not currently have access to this content.