Professor Maurizio Repetto
Politecnico di Torino, Italy
Computational intelligence for Renewable Energy integration in complex energy systems
Abstract: Complex energy systems, containing different energy sources both traditional and renewable, require the development of simulation and optimization techniques to maximize their performance. The application of data analysis techniques such as clustering techniques and Machine Learning methods, such as linear regression, Support Vector Regression and artificial neural networks has already provided good results in terms of accuracy and computational efficiency compared to the techniques of more traditional simulations and has now reached a degree of development that can be applied in real energy systems. Examples of application of computational intelligence in the areas of: hybrid networks involving different energy carriers such as electricity, heat, innovative fuels and power-to-x systems; multi-player systems where different actors interact to optimize the exploitation of renewable sources such as energy communities, will be presented.
Bio: Maurizio Repetto (Genova, Italy, 1960) received his Master and Ph. D. degrees in Electrical Engineering from the University of Genova. Since year 2000 is full professor of Principle of Electrical Engineering at the Department of Energy "Galileo Ferraris" of the Politecnico di Torino. From 2013 to 2017, Honorary Professor in the School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia. In 2018 visiting researcher at the University of Ontario Institute of Technology in Oshawa, Canada. From October 2015 to September 2018 Coordinator of the Electrical Engineering curriculum at the Politecnico di Torino. Since October 2018 he is elected member for Europe in the Board of the International Compumag Society. In February 2019 has been selected as expert for the Horizontal Working Group (HWG) on 100% Renewable Energy Districts of the of the Renewable Heating and Cooling (RHC) European Platform. Since July 2020, designated as Alternate Representative for Italy in the Executive Committee of the International Energy Agency Implementing Agreement on District Heating & Cooling, including Combined Heat and Power (IEA DHC-TCP). His research and consulting activity are focused on the numerical analysis of electromagnetic fields, on the modelling of magnetic materials, on the optimisation applied to the design of industrial devices and on the simulation and optimization of complex and hybrid energy systems with integration of renewable energy sources. He is author of 219 publications and of five patents. Bibliometrics, listed in the major research databases (Scopus – accessed Jan 4th, 2022), attribute more than 2300 citations (h-index 26).