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Biography

Fellow of the ENS in Fontenay aux Roses, Doctor of the University of Paris XI (Physics)
02-07  Vice-Chairman of the Scientific Council of the University of Perpignan,
Since January 2006 Vice-President of the competitiveness cluster DERBI (Renewable    Energy Development for Building and Industry).
RESEARCH ACTIVITIES 
Predictive modelling, control, optimization and supervision for complex processes.
Application domains of this work:
Renewable energy, Saving energy in buildings with renewable energy, Energy storage. ITC and energy savings
Used methods: Fuzzy logic, Neural networks, Series, Wavelets.
TEACHING ACTIVITIES
Automatic processes: modelling and control systems, estimates and  Forecasts and detecting faults in industrial processes.
Director of the “master EAI” (Electronic, Automatic, Computer)

Team ELIAUS, PROMES/CNRS laboratory, University of Perpignan

The Eliaus team from the PROMES laboratory (CNRS) has 22 permanent staff and 15 doctoral or post-doctoral students. It includes a research line devoted to energy conservation and renewable energies in buildings, as well as to the production of electricity from renewable energy. The work of this research line falls within the Derbi Competitiveness Cluster developed by the University of Perpignan and the CNRS, with many university and industry partners involved in the “Development” of Renewable Energies for the Buildings Trade and Industry”. This research line includes, in particular, research into the predictive modeling of energy consumption based on meteorological forecasts. The second action of this research line is the short-term prediction of the regional electricity network consumption. With deregulation of the electricity systems, prediction of the electricity load for an hour, a day or a week is essential. We work also on the control of virtual power plants. The control of these power plants consists in the maximum use of electricity production from sources that do not generate greenhouse gases. The demands formulated by the networks will be assessed against the weather predictions and database of earlier consumption. Eliaus also works on the development of a tool to detect energy losses in an industrial building or a group of buildings, with the proposal of an active monitoring solution and the integration of renewable energy.