Title :
Research on water leakage prediction of urban water supply network based on grey GM (0, N) model
Author :
Hong-wei, Li ; Jing, Li Yan ; Wu, Wenyan ; Mou, Lu
Author_Institution :
Dept. of Environ. & Municipal Eng., Qingdao Technol. Univ., Qingdao, China
Abstract :
From the current research review and defects of the present leakage prediction model analysis, a multivariate grey GM (0, N) (Multi-factor Grey Model) considering the water supply pressure, water supply volume and frequency of leakage was proposed, finally it was used to predict the leakage of water pipe network, the results showed that the precision of grey GM (0, N) model was greatly improved in comparison with the traditional single-factor prediction model.
Keywords :
forecasting theory; grey systems; pipelines; water supply; multivariate grey GM (0,N) model; single factor prediction model; urban water supply network; water leakage prediction; water pipe network; water supply pressure; water supply volume; Analytical models; Cities and towns; Computational modeling; Data models; Mathematical model; Predictive models; Solid modeling; GM (0, N) model; grey system; leakage prediction; water supply network;
Conference_Titel :
Networking, Sensing and Control (ICNSC), 2011 IEEE International Conference on
Conference_Location :
Delft
Print_ISBN :
978-1-4244-9570-2
DOI :
10.1109/ICNSC.2011.5874884