15   Artículos

 
en línea
Anika Stelzl and Daniela Fuchs-Hanusch    
Austria?s water utilities are facing new challenges due to advancing climate change. In recent years, changes in water demand have been observed. Water demand forecast models are required to assess these changes and react to them in a sustainable way. In... ver más
Revista: Water    Formato: Electrónico

 
en línea
Laís Marques de Oliveira, Samíria Maria Oliveira da Silva, Francisco de Assis de Souza Filho, Taís Maria Nunes Carvalho and Renata Locarno Frota    
Associating the dynamic spatial modeling based on the theory of cellular automata with remote sensing and geoprocessing technologies, this article analyzes what would be the per capita consumption behavior of Fortaleza-CE, located in the Northeast of Bra... ver más
Revista: Water    Formato: Electrónico

 
en línea
Yuebing Xu, Jing Zhang, Zuqiang Long, Hongzhong Tang and Xiaogang Zhang    
Effective and accurate water demand prediction is an important part of the optimal scheduling of a city water supply system. A novel deep architecture model called the continuous deep belief echo state network (CDBESN) is proposed in this study for the p... ver más
Revista: Water    Formato: Electrónico

 
en línea
Rafea Al-Suhili, Cheila Cullen and Reza Khanbilvardi    
Urban flooding is a frequent problem affecting cities all over the world. The problem is more significant now that the climate is changing and urbanization trends are increasing. Various, physical hydrological models such as the Environmental Protection ... ver más
Revista: Hydrology    Formato: Electrónico

 
en línea
Youngmin Seo, Soonmyeong Kwon and Yunyoung Choi    
Accurate water demand forecasting is essential to operate urban water supply facilities efficiently and ensure water demands for urban residents. This study proposes an extreme learning machine (ELM) coupled with variational mode decomposition (VMD) for ... ver más
Revista: Hydrology    Formato: Electrónico

 
en línea
Antonio Candelieri     Pág. 1 - 19
This paper presents a completely data-driven and machine-learning-based approach, in two stages, to first characterize and then forecast hourly water demand in the short term with applications of two different data sources: urban water demand (SCADA data... ver más
Revista: Water    Formato: Electrónico

 
en línea
Murat Yalçintas, Melih Bulu, Murat Küçükvar and Hamidreza Samadi    
The metropolitan city of Istanbul is becoming overcrowded and the demand for clean water is steeply rising in the city. The use of analytical approaches has become more and more critical for forecasting the water supply and demand balance in the long run... ver más
Revista: Sustainability    Formato: Electrónico

 
en línea
Edoardo Bertone and Rodney A. Stewart    
Fit-for-purpose potable source substitution of appropriate water end uses with rainwater or recycled water is often essential to maintain water security in growing urban regions. This paper provides the results of a detailed supply-demand forecasting rev... ver más
Revista: Water    Formato: Electrónico

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