Data-driven approach to extend the prediction of the energy consumption from building scale to groups of buildings and districts
Biography: Giovanni Tardioli graduated with a BSc in Energy Engineering from University of Rome “La Sapienza” in 2010; during his BSc, he won the 1st place studentship at "Zero emission service station", an engineering competition sponsored by Archigia s.r.l. and with the patronage of Assessorato delle Attività Produttive, del Lavoro e del Litorale del Comune di Roma, and Unione Petrolifera (Rome, Campidoglio, 27/11/2008).
He then continued his education at “La Sapienza” and graduated with an MSc in Energy Engineering with a specialization in Renewable Energy Resources and Technologies in 2013, achieving 1st class honours. His final year project, titled "Modelling of biomass combustion", was conducted under the supervision of Prof. Franco Rispoli.
In February 2014 Giovanni began an industrial PhD program with University College Dublin and Integrated Environmental Solution Ltd; he is enrolled as early stage researcher in the CiNERGY project, an EU funded program. The main objective of the PhD research is to develop a data-driven approach capable to extend the prediction of the energy consumption from building scale to groups of buildings and districts. An important part of the research will be the specification of a methodology capable to explain how to use real data to predict the energy consumption in building with limited data available to them. This approach will be validated with real cases studio data from two different cities: Vienna and Geneva.
Giovanni Tardioli is funded by the Marie Curie ITN project entitled “CiNERGY Smart Cities with Sustainable Energy Systems”.