D. Piga, A. Cominola, M. Giuliani, A. Castelletti and A. E. Rizzoli, “Sparse Optimization for Automated Energy End Use Disaggregation,” IEEE Transactions on Control Systems Technology, vol. 24, no. 3, pp. 1044-1051, May 2016.
Author Archives: firstname.lastname@example.org
This paper builds on decision scaling theory by proposing a bottom-up approach to designing optimal feedback control policies for a water system exposed to a changing climate. This approach not only describes optimal operational policies for a range of potential climatic changes, but also enables an assessment of a system’s upper limit of its operational adaptive capacity, beyond which upgrades to infrastructure become unavoidable. The approach is illustrated using the Lake Como system in Northern Italy—a regulated system with a complex relationship between climate and system performance. Read more here.
Culley, S., Noble, S., Yates, A., Timbs, M., Westra, S., Maier, H.R., Giuliani, M. and Castelletti, A. (2016), A bottom-up approach to identifying the maximum operational adaptive capacity of water resource systems to a changing climate. Water Resour. Res.. Accepted Author Manuscript. doi:10.1002/2015WR018253
The Summer School on Smart Systems for Water Management is about to start at Monte Verità (CH). The SmartH2O project, ETH Zurich, Politecnico di Milano and Supsi co-organized the school and an associated symposium to make the point on current and future urban water demand modelling challenges. More info here
Tuesday, May 10th, Andrea Castelletti will give a keynote speech at the ASEAN RISE 2016 Workshop on ICT Research and Innovation for Sustainable Economic and Social Development in ASEAN.