Plenary Speakers
Michel Mandjes (Mathematical Institute, Vrije Universiteit Amsterdam)
Nadia Oudjane (EDF, France)
Nadia Oudjane is currently a senior research engineer at EDF R&D (Palaiseau, France) expert in optimization and stochastic dynamical systems. Graduated from SupAero (Toulouse, France), she holds a PhD in Applied Mathematics and an HDR in sciences. She has been working for more than 20 years on various topics involving numerical methods for energy management in stochastic environments. Her current research interests include stochastic control and decentralized optimization for distributed generation and consumption flexibilities in power systems.
Title : Optimizing over probability measures to manage distributed flexibilities in power systems
Abstract :
With the massive integration of renewable energies (photovoltaic (PV) and wind power) into the power grid, new uncertainties are impacting system balance. At the same time, advances in « smart » technologies and batteries offer the possibility of controlling the consumption of a large number of electrical appliances (electric vehicle recharging, heat pumps, etc.) which can contribute to system balance and thus compensate for the uncertainties induced by the integration of new renewable energies. In this framework, amajor technical challenge is therefore to optimize the management of this large number of heterogeneous assets distributed across the network. This constitutes a large scale optimization problem under uncertainties, which can benefit from a mean-field approximation approach. This leads us to consider a new class of optimization problems where the decision variables are probability measures.
Michaël Jordan (INRIA)
Michael I. Jordan is a researcher at INRIA and Professor Emeritus at the University of California, Berkeley. His research interests bridge the computational, statistical, cognitive, biological and social sciences. Prof. Jordan is a member of the National Academy of Sciences, a member of the National Academy of Engineering, a member of the American Academy of Arts and Sciences, and a Foreign Member of the Royal Society. He was the inaugural winner of the World Laureates Association (WLA) Prize in 2022. He was a Plenary Lecturer at the International Congress of Mathematicians in 2018. He has received the Ulf Grenander Prize from the American Mathematical Society, the IEEE John von Neumann Medal, the IJCAI Research Excellence Award, the David E. Rumelhart Prize, and the ACM/AAAI Allen Newell Award. In 2016, Prof. Jordan was named the « most influential computer scientist » worldwide in an article in Science, based on rankings from the Semantic Scholar search engine.
Title: Machine Learning Meets Asymmetric Information
Sergio Grammatico (Delft University of Technology, The Netherlands).
Sergio Grammatico is an Associate Professor at the Delft Center for Systems and Control, TU Delft, The Netherlands. He received the Bachelor’s degree in Computer Engineering, the Master’s degree in Automatic Control, and the Ph.D. degree in Automatic Control, all from the University of Pisa, Italy, in 2008, 2009, and 2013 respectively. In 2013–2015, he was a postdoc researcher in the Automatic Control Laboratory, ETH Zurich, Switzerland. In 2015–2018, he was an Assistant Professor in the Department of Electrical Engineering, Control Systems, TU Eindhoven. He was a recipient of the Best Paper Award at the 2016 ISDG Int. Conf. on Network Games, Control and Optimization, of the 2021 Roberto Tempo Best CDC Paper Award, and co-author for the 2022 IEEE CSS Italy Young Author Best Journal Paper Award. He is currently an Associate Editor of the IEEE Trans. on Automatic Control and of IFAC Automatica. His research interests include dynamic game theory, multi-agent systems and extremum seeking control.
Title: Equilibrium seeking in complex systems