Session Description:
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.
Organizers:
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.