NDLI: Combined forecasting model of urban water demand under changing environment

Content Provider	IEEE Xplore Digital Library
Author	Xu Yin-shan Mei Ya-dong Yong Ting
Copyright Year	2011
Description	Author affiliation: State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, China (Xu Yin-shan; Mei Ya-dong; Yong Ting)
Abstract	The influence of climate change on water consumption under changing economic background has always been kept a important issue by global research institute. Taking Dongguan city as a study object, the influence factors of water requirement are divided into climate factor economic factor and social factor. Water demand forecasting models are established on different influence factors to analyze the response relationship between various influence factors and water demand. Optimum influence factors are chosen on this basis, and water demand forecasting models are established through applying various methods. Least squares (LS) combination forecasting technology is adopted to integrate the results of different forecasting models. The situation and reasons of water demand changes of Dongguan city are proclaimed, the variation tendency of water demand is revealed, and a theoretical foundation for Dongguan City water resources management is provided.
Starting Page	1103
Ending Page	1107
File Size	220644
Page Count	5
File Format	PDF
ISBN	9781457702891
e-ISBN	9781457702907
DOI	10.1109/ICETCE.2011.5775448
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Urban water demand Accuracy Biological system modeling Predictive models Cities and towns Least squares combination forecasting technology Artificial neural network Forecasting Water resources
Content Type	Text
Resource Type	Article

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