Smart Water welcomes submissions to the thematic series on the role of big data analytics for realizing intelligent water networks. We are looking for papers that demonstrate how intelligent water network technologies and big data analytics can be used to enhance urban water networks. The research work should demonstrate novel concepts and applications within one or more aspects of the entire network from supply through to distribution and the customer/end-user. Operational, forecasting, customer, finance, economic, engineering, social, science, and asset management dimensions are encouraged. The use of advanced data mining and pattern recognition techniques for providing novel ways to manage urban water resources are requested. Papers that unpack the interaction between water-energy data are particularly encouraged.
Open Call for Papers: Role of Big Data Analytics for Realizing Intelligent Water Networks
About the Editor-in-chief
The Editor-in-Chief of Smart Water, Joong Hoon "Jay" Kim, is a professor at Korea University. He specializes in water engineering and hydroinformatics, and is a member of IWA and IEEE. His research interests include applying optimization and machine learning techniques to water management systems such as smart water management systems and micro water grid systems in smart cities, real-time management of urban water systems involving smart monitoring, telemetered systems, and sensor networks.
See the full editorial board.
Aims and Scope
Smart Water is a peer-reviewed open access journal published under the SpringerOpen brand. The journal covers areas like Smart City and Smart Water Issues, next-generation Smart Water Management, Artificial Intelligence for Smart Water, and others.
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Annual Journal Metrics
60 days to first decision for reviewed manuscripts only
56 days to first decision for all manuscripts
96 days from submission to acceptance
21 days from acceptance to publication
11 Altmetric mentions
- ISSN: 2198-2619 (electronic)