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The NRMGroup won the EFARRI award

We won the EFARRI award with the IMRR project. The IMRR project developed and promoted strategies for the sustainable and participatory management of water resources in the Red-Thai Binh River (RTBR) system, the largest river basin in Screen Shot 2017-01-19 at 15.29.04Vietnam. The EFARRI call was launched on September 14th 2015. In total 214 projects were submitted before December 8th 2015. Between December 2015 and March 2016 four pre-selection rounds took place to reduce the amount of applications from 214 to 15. Eventually the IMRR project was chosen as one of them and on November 21st was announced as one of the three winners of the EFARRI award.

More information available here.

The NMRGroup is one of the finalists for the EFARRI award

Image result for efarriThe NRMGroup has been selected as one of the finalists of the EFARRI award by the European Foundations Award for Responsible Research & Innovation. EFARRI aims to identify research groups that have successfully incorporated methods to align research with the needs of society and contributed towards the development of a smart, inclusive and sustainable society. The award is a joint initiative of the King Baudouin Foundation (Belgium), “la Caixa” Foundation (Spain), Fondazione Cariplo (Italy), the Lundbeck Foundation (Denmark), the Robert Bosch Stiftung (GermanTy) and the European Foundation Centre Research Forum. Rodolfo Soncini, Andrea Castelletti and Enrico Weber will at the award cerimony in Bruxelles, Nov 21-22.

DMDU2016 hosted by the World Bank

Interactive session at DMDU 2016

NRMGroup co-organized with CEE Cornell and TuDelft a session on Bridging the False Divide: Are We Ignoring the Role of Adaptive Operations for Improving the Efficiency, Resilience and Robustness of Planned Infrastructure? at the DMDU 2016 workshop hosted  by the Waorld Bank in Washington DC on November 16 and 17, 2016. DMDU is organized annually by the Society for Decision Making Under Deep Uncertainty


Cover image Applied EnergyWe just published a paper on energy consumption end-use disaggregation using Hidden Markov Models and Dynamic Time Warping. This is part of the research we are conducting on smart metered data analytics and modelling. The work has been supported by the SmartH2O project. More details and the full paper are available here (free access until Dec, 31, 2016!).

A. Cominola, M. Giuliani, D. Piga, A. Castelletti, A.E. Rizzoli, A Hybrid Signature-based Iterative Disaggregation algorithm for Non-Intrusive Load Monitoring, Applied Energy, 185,  331-344, 2017.