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Water wise – a digital water solution for smart cities and water management entities


Inês Figueiredo*, Paulo Esteves, Paulo Cabrita
Wakaru Consulting Lda, Rua Dr. Gomes Leal 3-A, 2560-331 Torres Vedras, Portugal
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.
© 2020 The Authors. Published by Elsevier B.V.
This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)
Peer-review under responsibility of the scientific committee of the CENTERIS - International Conference on ENTERprise
Information Systems / ProjMAN - International Conference on Project MANagement / HCist - International Conference on Health
and Social Care Information Systems and Technologies 2020
Keywords: digital water; water utility; water distribution systems; climate change; smart city; SCADA; Deep Learning; Machine Learning; 

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