Matteo De Felice - enea

Matteo De Felice Staﬀ Scientist Energy and Environment Modeling Unit, ENEA Born: 29 March 1982, in Rome, Italy !
CONTACTS mobile e-‐mail skype +39 392 59 12 986 [email protected] matteo.defelice oﬃce +39 06 3048 4582 web http://matteodefelice.name RESEARCH INTERESTS Statistical modelling & Forecasting ■ Climate Data Analysis ■ Energy & Meteorology ■ Climate Services ■ Engineering applications of Computational Intelligence WORK EXPERIENCE 2011 -‐ present ENEA — Energy and Environment Modeling Unit Research activity at Climate Modeling and Impacts laboratory on electricity production/demand forecasting methodologies using weather-‐climate information. Seasonal Forecasts veriﬁcation and Climate Services. Research about data mining methods applied to a wide range of energy-‐related topics. Participation in FP7 EU Projects: SPECS, EUPORIAS, SINGULAR. 2007 -‐ 2010 ENEA — Energy Eﬃciency Department Research activity on computational intelligence methodologies for energy processes in collaboration with the Distributed Generation Technical Unit. Research activity about the development of optimisation systems for renewable energy management and control methods for building–energy plants in collaboration with the Department of Informatics and Automation (DIA) of the University of Rome “Roma Tre”. Development of on-‐line optimisation and diagnostics for combined-‐cycle power plants. Research grant by Italian Electric System Research Plan 2009-‐2011 and MIUR-‐630 Project (University and Research Ministry). PROJECTS ✓ SPECS (FP7, 2012-‐2016): WP leader of Pilot Applications Work Package, activity on solar and wind power forecast on seasonal-‐to-‐decadal time scales. Seasonal forecasts veriﬁcation and multi-‐model ensembles analysis. ✓ EUPORIAS (FP7, 2012-‐2016): activity on the assessment of stakeholders’ climate information needs, and deﬁnition and calibration of information indices ✓ SINGULAR (FP7, 2013-‐2016): development of a renewable energy forecasting framework. !
Matteo De Felice - Scientific CV - May 2014
OTHER RESEARCH EXPERIENCE 3/2012 University of Birmingham, UK — CERCIA Visiting researcher for a project about online learning of national electricity demand. Funded by EU's IntelliCIS COST Action. Research supervisor: Prof. Xin Yao 7/2010 -‐ 10/2010 University of Birmingham, UK — CERCIA Visiting student for a project about the forecasting of building hourly energy demand using neural networks ensembles. Funded by EU's IntelliCIS COST Action and CERCIA. Research supervisor: Prof. Xin Yao 6/2009 -‐ 9/2009 University of Birmingham, UK — CERCIA Visiting student for a project about the forecasting of Italian regional energy consumptions. Research supervisor: Prof. Xin Yao EDUCATION 2007-‐March 2011 University of Rome “Roma Tre” — Ph.D. European Label student at the Department of Informatics and Automation (DIA) in collaboration with ENEA (Italian Environment New Technology and Energy Agency). Thesis title: APPLICATION OF COMPUTATIONAL INTELLIGENCE TO ENERGY SYSTEMS. Advisor: Prof. Stefano Panzieri. 2004-‐2007 University of Rome “Roma Tre” — Laurea magistrale (MSc) in Informatics and Automation Engineering in collaboration with ENEA. Thesis’s topic: EVOLUTIONARY NEURAL NETWORKS WITH COMPLEX NETWORK TOPOLOGY FOR DYNAMICS SYSTEMS MODELING. Grade: 110/110 2001-‐2004 University of Rome “Roma Tre” — Laurea primo livello (BSc) in Informatics Engineering in collaboration with Alenia Space. Thesis’s topic: PORTING OF SIMULATION MODELS FROM XMATH TO MATLAB. Grade: 110/110 cum laude TEACHING AND LECTURES Teaching and seminar activities for Fuzzy Control and Control Systems courses (2011-‐2014) at the Department of Informatics and Automation, University of Rome “Roma Tre”. Lecture at 2nd CLIM-‐RUN School: Building Two-‐way Communication: A Week of Climate Services (2013) OTHER ACTIVITIES Referee activities for Renewable Energy (Elsevier), Applied Soft Computing Journal (Elsevier), Energy Conversion & Management (Elsevier), Journal of Computer Science and Technology (Springer), Computers & Geosciences (Elsevier), Annales Geophysicae (EGU) Program Committee for ICARIS2011, ICARIS2012, PPSN2012, CISDA2012, WCCI2012, ICANNGA2013, SSCI2013 Organization of Complex Networks Seminars for the Doctoral School of Matteo De Felice - Scientific CV - May 2014
Engineering at the Department of Informatics and Automation, University of Rome “Roma Tre”. Tutoring activities for MSc and Ph.D. students. Java Programming Teacher for a course funded by Regional Authority. C Programming Teacher for TMS. COMPUTER SCIENCE SKILLS MATLAB/R programming for simulation, analysis and data acquisition. Data mining and analysis. Java/C/C++/Python programming for UNIX and Windows OSs with the most common scientiﬁc libraries. Software for climate data processing (CDO, WGRIB). Database MySQL and SQLite, web publishing with Wordpress and PHP. LANGUAGES Italian mother tongue. Good proﬁciency in written and spoken English. !
SCIENTIFIC PUBLICATIONS INTERNATIONAL JOURNALS 1. R. Iacono and M. Felice, “Approximate analytic solutions to the isothermal Lane–Emden equation,” Celestial Mechanics and Dynamical Astronomy, vol. 118, iss. 3, pp. 291-‐298, 2014. 2. M. De Felice, A. Alessandri, and P. M. Ruti, “Electricity Demand Forecasting over Italy: Potential Beneﬁts using Numerical Weather Prediction models,” Electric Power Systems Research, vol. 104, pp 71-‐79, 2013. 3. M. De Felice and X. Yao, "Short-‐Term Load Forecasting with Neural Network Ensembles: a Comparative Study," IEEE Computational Intelligence Magazine, Vol. 6, N. 3, pp 47-‐56, 2011 4. I. Bertini, F. Ceravolo, M. Citterio, M. De Felice, B. Di Pietra, F. Margiotta, S. Pizzuti, G. Puglisi. Ambient Temperature modelling with Soft Computing Techniques, Solar Energy vol. 84, N. 7, 2010, Elsevier 5. M. De Felice, I. Bertini, A. Pannicelli, S. Pizzuti. Soft Computing based optimisation of combined cycled power plant start-‐up operation with ﬁtness approximation methods, Applied Soft Computing, vol. 4, pp. 4110-‐4116, 2011 6. I. Bertini, M. De Felice, A. Pannicelli, and S. Pizzuti, Optimizing the start-‐up operations of combined cycle power plants using Soft-‐Computing methods, Logic Journal of the IGPL, vol. Special Issue SOCO 2010 & and the special session: Mathematical Models in Artiﬁcial Intelligence, 2011. BOOK CHAPTERS 1. P. M. Ruti and M. De Felice, Climate and Energy Production — A Climate Services Perspective. Elsevier Inc., Academic Press, 2013 2.A. Athanasiou, M. De Felice, G. Oliveto, and P. S. Oliveto, Dynamical Modeling and Parameter Identiﬁcation of Seismic Isolation Systems by Evolution Strategies, Studies in Computational Intelligence, Springer-‐Verlag New York Inc, 2012. 2. A. Azzini, M. De Felice, and A. Tettamanzi, A Comparison between Nature-‐Inspired and Machine Learning Approaches to Detecting Trend Reversals in Financial Time Series, Brabazon, A., O’Neill, M., and Maringer, D., Eds., Springer Berlin / Heidelberg, 2012, vol. 380, pp. 39-‐59. INTERNATIONAL CONFERENCES AND WORKSHOPS 1.
A. Athanasiou, M. De Felice, G. Oliveto, and P. Oliveto, Evolutionary Algorithms For The Identiﬁcation Of Structural Systems In Earthquake Engineering, in International Conference on Evolutionary Computation Theory and Applications, 2011 [best paper nomination] 2.
G. Stracquadanio, A. La Ferla, M. De Felice, and G. Nicosia, Design of Robust Space Trajectories, in Matteo De Felice - Scientific CV - May 2014
Proceedings of Ai-‐2011: Research and Development in Intelligent Systems XXVIII: Incorporating Applications and Innovations in Intelligent Systems XIX, Springer, 2011, pp. 341. 3.
M. De Felice, S. Meloni, and S. Panzieri, Eﬀect of topology on diversity of spatially-‐structured evolutionary algorithms, in Proceedings of the 13th annual conference on Genetic and evolutionary computation, New York, NY, USA, 2011, pp. 1579-‐1586. 4.
M. De Felice, X. Yao Neural Networks Ensembles for Short-‐Term Load Forecasting, CIASG -‐ 2011 IEEE Symposium on Computational Intelligence Applications in Smart Grid 5.
I. Bertini, M. De Felice, F. Moretti, S. Pizzuti. Start-‐up optimisation of a combined cycle power plant with multiobjective evolutionary algorithms in Applications of Evolutionary Computation. Lecture Notes in Computer Science 6025 Springer 2010 6.
A. Azzini, M. De Felice, A. G. B. Tettamanzi. A study of Nature-‐Inspired Methodologies for Financial Turning Point Detection in Applications of Evolutionary Computation. Lecture Notes in Computer Science 6025 Springer 2010 7.
F. Ceravolo, M. De Felice, S. Pizzuti. Combining Back-‐Propagation and Genetic Algorithms to Train Neural Networks for Ambient Temperature Modeling in Italy in Applications of Evolutionary Computing. Lecture Notes in Computer Science 5484 Springer 2009 8.
A. Azzini, M. De Felice, S. Meloni, A.G.B. Tettamanzi. Soft Computing Techniques for Internet Backbone Traﬃc Anomaly Detection in Applications of Evolutionary Computing. Lecture Notes in Computer Science 5484 Springer 2009 9.
S. Pizzuti, M. De Felice, F. Ceravolo. Ambient Temperature Modelling through Traditional and Soft Computing Methods in Proceedings of HAIS 2008: Hybrid Artiﬁcial Intelligence Systems, Third International Workshop, Burgos, Spain, September 24-‐26,2008. Lecture Notes in Artiﬁcial Intelligence 5271 Springer 10. M. Annunziato, I. Bertini, M. De Felice, S. Pizzuti. Evolutionary Complex Neural Networks NISIS 2007, Malta 11.
M. Annunziato, I. Bertini, M. De Felice, S. Pizzuti. Evolving Complex Neural Networks in Proceedings of AI*IA 2007: Artiﬁcial Intelligence and Human-‐Oriented Computing, 10th Congress of the Italian Association for Artiﬁcial Intelligence, Rome, Italy, September 10-‐13, 2007. Lecture Notes in Computer Science 4733 Springer 2007 12. M. De Felice, M. Annunziato, I. Bertini, S. Pizzuti. Evolving Predictive Neural Models for Complex Processes CITSA 2007, Orlando, Florida, USA !
ITALIAN JOURNALS 1. M. De Felice, Smart Grids: Le Criticitá nella Gestione dei Dati, Safety & Security, 2011. ITALIAN CONFERENCES 1. A. Azzini, M. De Felice, S.Meloni, A.G.B. Tettamanzi. Tecniche di Soft Computing per riconoscimento di anomalie: una prima analisi in Atti del VI Workshop di Vita Artiﬁciale e Computazione Evolutiva (WIVACE), Editrice Fridericiana Universitaria 2. M. De Felice, F. Moretti. Riduzione delle chiamate della funzione di ﬁtness tramite approssimazione della ﬁtness per algoritmi evolutivi in Atti del VI Workshop di Vita Artiﬁciale e Computazione Evolutiva (WIVACE), Editrice Fridericiana Universitaria 3. G. Treppo, M. De Felice, S. Pizzuti. Artiﬁcial Neural Networks and Support Vector Machines ensembling: a comparison in Artiﬁcial Life and Evolutionary Computation, Proceedings of Wivace 2008, World Scientiﬁc Computing 4. M. Annunziato, I. Bertini, M. De Felice, S. Pizzuti. Reti neurali evolutive con topologia a rete complessa WIVACE 2007, Baia Samuele, Sampieri (Ragusa), Italy Matteo De Felice - Scientific CV - May 2014

Download Report