Modelling water and energy resources in urban environments is key to inform planning and management strategies, especially for futures characterized by population growth, urbanization, climate and land use change. Recent technological development and diffusion of advanced metering hardware, increasing data availability, emerging big data analytics, and data-learning techniques, are opening new opportunities to advance mathematical modelling and management of urban water and energy resources.
This session provides an active forum to discuss urban water and energy resources modelling and management. Topics and applications could belong to any area of urban water and energy systems modelling and management, including intelligent metering, demand and supply modelling and optimization, multi-sectoral/multi-scale interconnections, big-data management, information extraction, and cyber-physical security.
Andrea Cominola, Technische Universität Berlin – Einstein Center Digital Future, Germany
Riccardo Taormina, Delft University of Technology, Department of Water Management, Netherlands
Matteo Giuliani, Politecnico di Milano, Italy
Stefano Galelli, Singapore University of Technology and Design, Singapore
Andrea Castelletti, Politecnico di Milano, Italy.