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DOI	10.1007/s12145-021-00733-z
	Forecasting urban water consumption using bayesian networks and gene expression programming
	Mousavi-Mirkalaei, Pezhman; Roozbahani, Abbas; Banihabib, Mohammad Ebrahim; Randhir, Timothy O.
通讯作者	Roozbahani, A
来源期刊	EARTH SCIENCE INFORMATICS
ISSN	1865-0473
EISSN	1865-0481
出版年	2022
卷号	15 期号:1 页码:623-633
英文摘要	Forecasting Urban Water Consumption (UWC) has a significant impress in efficient urban water management in rapidly growing cities in arid regions. Enhancing forecasting accuracy of UWC using novel models is a crucial requirement in order to the management of smart cities. In this study, Bayesian Networks (BN) is developed as a probabilistic model and compared to Gene Expression Programming (GEP) model as an evolutionary algorithm for forecasting UWC. The amount of current water consumption predicts future water consumption. The scenario with sunshine hours was added to the parameter set as the best scenario in both BN and GEP models based on comparison of Root Mean Square Error (0.11, 0.16), Mean Absolute Relative Error (0.02, 0.05), Max Root Error (0.26, 0.26), and Coefficient of determination (0.8, 0.7), respectively. The outcomes indicate that the BN model provided a more desirable efficiency compared to the GEP model. Furthermore, it can be concluded that the sunshine hour has a considerable influence on UWC, and the ability of the BN model is greatly enhanced by adding this predictor to forecast UWC in a city in an arid region with rapid population growth.
英文关键词	Bayesian Network Daily Water Consumption Urban Water Gene Expression Programming Sunshine Hour
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000741278300003
WOS关键词	ARTIFICIAL NEURAL-NETWORK
WOS类目	Computer Science, Interdisciplinary Applications ; Geosciences, Multidisciplinary
WOS研究方向	Computer Science ; Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/376574
推荐引用方式 GB/T 7714	Mousavi-Mirkalaei, Pezhman,Roozbahani, Abbas,Banihabib, Mohammad Ebrahim,et al. Forecasting urban water consumption using bayesian networks and gene expression programming[J],2022,15(1):623-633.
APA	Mousavi-Mirkalaei, Pezhman,Roozbahani, Abbas,Banihabib, Mohammad Ebrahim,&Randhir, Timothy O..(2022).Forecasting urban water consumption using bayesian networks and gene expression programming.EARTH SCIENCE INFORMATICS,15(1),623-633.
MLA	Mousavi-Mirkalaei, Pezhman,et al."Forecasting urban water consumption using bayesian networks and gene expression programming".EARTH SCIENCE INFORMATICS 15.1(2022):623-633.