Scientific Officer

Joint Research Centre, European Commission

March 2018 – Present The Netherlands
Part of the Knowledge For The Energy Union unit. Involved in the WEFE (Water, Energy, Food and Ecosystems Nexus) institutional project. Part of the advisory board of Copernicus Climate Change Service “Energy” operational, H2020 S2S4E project

  • Data analysis & data mining
  • Impact of climate variability and change on European energy policies
  • Modelling power systems in Europe and Africa with Dispa-SET, GAMS and METIS

Staff Scientist


July 2007 – March 2018 Rome & Bologna, Italy
In the period 2010-2018 I have carried out research on energy & meteorology, with a specific focus on climate services. I was involved in the following projects: H2020 MED-GOLD (preparation and coordination team), H2020 S2S4E, H2020 CRESCENDO, INTERREG STRATUS (P.I. for ENEA), Copernicus Climate Change Service contract ECEM (P.I. for ENEA), FP7 SPECS (WP leader on pilot applications), FP7 EUPORIAS, FP7 CLIM-RUN. I was responsabile of a service contract with TERNA S.p.A., the Italian electricity TSO, to help them to analyse the added value in the use of state-of-art climate information for electricity demand and solar power forecasting.

  • In the period 2007-2010 I was research fellow in the Energy Efficiency Department. I have carried out research activity in collaboration with the Distributed Generation Technical Unit in the development of optimisation models for renewable energy management and control methods for building management. I have also carried out research in the field of Evolutionary Computation and Computational Intelligence for energy time-series forecasting and combined-cycle power plants optimisation. I have spent four months as visiting scientist in the CERCIA at the University of Birmingham (UK) working with the Prof. Xin Yao and his team to develop neural network-based methods for energy demand forecasting.

Recent Posts

I am the lead author of a report titled JRC Technical report on the impact of climate variability in the European power systems and released a few days ago. One of the main topics of the report is the co-variability of renewables generation in Europe. You can find many scientific papers on this topic, for example in (Graabak & Korpås, 2016), (Monforti et al., 2016), (Thornton et al., 2017), and in the recent review (Jurasz et al.

Modelling (and thus understanding) the generation of renewable energy sources is very important, especially considering their link with meteorological variables. In this blog post I would like to focus on run-of-river hydropower, a common source of electricity in Europe. This notebook demonstrates the potential in using free/open data to analyse & model run-of-river generation. I will use three different datasets: The JRC Open Power Plants Database (JRC-PPDB-OPEN) to know the coordinates of the most important plants in Europe.


European hydro-power plants database

JRC Open Power Plants Database

Dataset for the power system modelling of the West African Power Pool (WAPP)

ERA-NUTS: time-series based on C3S ERA5 for European regions





European Climatic Energy Mixes


Turning climate-related information into added value for traditional MEDiterranean Grape, OLive and Durum wheat food systems

H2020 S2S4E

Sub-Seasonal to Seasonal Climate Prediction For Energy


the Added Value of Seasonal Climate Forecasts for Integrated Risk Management Decisions

Interreg V-A STRATUS

Strategie Ambientali per un Turismo Sostenibile


European Provision Of Regional Impact Assessment on a Seasonal-to-decadal timescale


European Provision Of Regional Impact Assessment on a Seasonal-to-decadal timescale


Climate Local Information in the Mediterranean region Responding to User Needs