Smart Water

Publisher: Springer |  Publishing Format: Open Access   | Impact Factor:

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.


water networks, big data analytics, intelligent water network, water energy data, Big data journal, Energy journal

Publication Format:  Open Access

Editor in Chief
Joong Hoon
Country:  South Korea

Country: USA


Please refer to the original journal website for accurate and up to date information.

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