Comprehensive forecast of urban water-energy demand based on a neural network model

Water (Switzerland)

Volumn 10, Issue 4, 2018, Pages

  Yin, Ziyi ^a,b   Jia, Benyou ^a   Wu, Shiqiang ^a   Dai, Jiangyu ^a   Tang, Deshan ^b  

^a NANJING HYDRAULIC RESEARCH INSTITUTE   (China)

^b HOHAI UNIVERSITY   (China)

Author keywords

Artificial neural network model; Energy demand forecast; Multiple linear regression; Water demand forecast; Water energy nexus

Indexed keywords

BACKPROPAGATION ALGORITHMS; COAL; COAL INDUSTRY; ENERGY MANAGEMENT; FORECASTING; LINEAR REGRESSION; NEURAL NETWORKS; SEWAGE TREATMENT; URBAN PLANNING; WASTEWATER TREATMENT; WATER SUPPLY;

ARTIFICIAL NEURAL NETWORK MODELING; ENERGY DEMANDS; MULTIPLE LINEAR REGRESSIONS; WATER DEMAND FORECASTS; WATER ENERGY;

INDUSTRIAL WATER TREATMENT;

ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; DEMAND ANALYSIS; ENERGY; FORECASTING METHOD; GROSS DOMESTIC PRODUCT; HISTORICAL RECORD; MODEL; MULTIPLE REGRESSION; URBAN AREA; WATER DEMAND; WATER RESOURCE;

CHINA; CHONGQING; WUXI [CHONGQING];

EID: 85044593254     PISSN: None     EISSN: 20734441     Source Type: Journal    
DOI: 10.3390/w10040385     Document Type: Article

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