Abstract
Abstract Efficient water management of the urban water cycle is one of the current concerns with the increase of (peri) urban areas due to the population growth, economic development, and possibility of water scarcity due to climate change. To face the increase of the water demand it is imperative the creation of digital water solutions to provide a real-time monitoring, decision support system, to manage the water supply network efficiently and optimize the water-energy nexus. This paper presents a Water Wise System – W2S, results from a R&D project supported by an EU and Portuguese Government Grant. The paper provides a preliminary study of an architecture solution to Water Wise System software, focuses on the water challenges, present technology, digital water, IoT and the future of smart cities. The solution aims to support a paradigm shift in the management of water distribution networks, with predictive and analytical convergence supported in Machine Learning, Deep Learning and an integration with SCADA, GIS and EPANET.
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