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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...
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Yongen Lin, Dagang Wang, Tao Jiang and Aiqing Kang
Reliable streamflow forecasting is a determining factor for water resource planning and flood control. To better understand the strengths and weaknesses of newly proposed methods in streamflow forecasting and facilitate comparisons of different research ...
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Martin Oberascher, Lukas Schartner and Robert Sitzenfrei
The potential of water supply systems for renewable electrical energy production is frequently utilised by a small-scale hydropower unit (SHPU) that utilises the surplus water or pressure. However, fluctuating demand on an hourly and daily basis represen...
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Iffat Gheyas, Gregory Epiphaniou, Carsten Maple and Subhash Lakshminarayana
The safe and efficient function of critical national infrastructure (CNI) relies on the accurate demand forecast. Cyber-physical system-based demand forecasting systems (CDFS), typically found in CNI (such as energy, water, and transport), are highly vul...
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Andrea Menapace, Ariele Zanfei and Maurizio Righetti
The evolution of smart water grids leads to new Big Data challenges boosting the development and application of Machine Learning techniques to support efficient and sustainable drinking water management. These powerful techniques rely on hyperparameters ...
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Nouha Dkhili, Julien Eynard, Stéphane Thil and Stéphane Grieu
In a context of accelerating deployment of distributed generation in power distribution grid, this work proposes an answer to an important and urgent need for better management tools in order to ?intelligently? operate these grids and maintain quality of...
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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...
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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...
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Cristian Guevara Ochoa, Ignacio Masson, Georgina Cazenave, Luis Vives and Gabriel Vázquez Amábile
Due to the socioeconomical impact of water extremes in plain areas, there is a considerable demand for suitable strategies aiding in the management of water resources and rainfed crops. Numerical models allow for the modelling of water extremes and their...
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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 ...
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