Combined forecasting model of urban water demand under changing environment

2011 International Conference on Electric Technology and Civil Engineering, ICETCE 2011 - Proceedings

Volumn , Issue , 2011, Pages 1103-1107

  Xu, Yin Shan ^a   Mei, Ya Dong ^a   Yong, Ting ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

artificial neural network; least squares combination forecasting technology; support vector machines; urban water demand

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CHANGING ENVIRONMENT; CLIMATE FACTORS; COMBINATION FORECASTING; COMBINED FORECASTING; DONGGUAN; ECONOMIC FACTORS; FORECASTING MODELS; INFLUENCE FACTORS; LEAST SQUARES; LEAST SQUARES COMBINATION FORECASTING TECHNOLOGY; RESEARCH INSTITUTES; SOCIAL FACTOR; SUPPORT VECTOR; THEORETICAL FOUNDATIONS; URBAN WATERS; WATER CONSUMPTION; WATER DEMAND; WATER REQUIREMENTS; WATER RESOURCES MANAGEMENT;

CIVIL ENGINEERING; CLIMATE CHANGE; CLIMATE MODELS; FORECASTING; NEURAL NETWORKS; TECHNOLOGY; WATER SUPPLY;

WATER RESOURCES;

EID: 79959671046     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICETCE.2011.5775448     Document Type: Conference Paper

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