Presented by: Professor Laurent El Ghaoui, EECS and IEOR Departments, UC Berkeley
Thursday, September 15, 2016 | 4 – 5:00pm ET
This webinar, by IEEE Smart Grid Experts, Laurent El Ghaoui and Stephanie Jumel, will provide an overview of data science, including machine learning and optimization, and present a few applications in the context of Smart Grid. It will describe work done in collaboration with different units at EDF and with support from the Siebel Energy Institute. Some of the topics reviewed include a) text analytics for business intelligence on smart grid applications; b) advanced machine learning and optimization for co-generation intra-day plant management, and c) optimal design of complex smart grid systems using surrogate models.
About the Speakers:
Laurent El Ghaoui graduated from Ecole Polytechnique (Palaiseau, France) in 1985, and obtained his Ph.D. in Aeronautics and Astronautics at Stanford University in March 1990. Professor El Ghaoui taught in several institutions in France (Ecole Polytechnique, ENSTA and U. Paris La Sorbonne), then joined the UC Berkeley faculty in April 1999 as an Acting Associate Professor, and obtained tenure in May 2001. He was on leave from UC from July 2003 to 2006 to work for the hedge fund SAC Capital Management.
Stephanie Jumel joined EDF Innovation Lab in 2013, to support EDF Business Units in North America on new energy services for Commercial, Industrial and MUSH markets. In previous positions, Stephanie lead a research team on simulation tools for industrial energy efficiency, and contributed to the development of EIfER (EDF R&D, Germany) by setting up a research group on urban energy planning. Passionate about modelling and simulation, she started her career in developing a multi-scale simulation tool to study irraditation-induced embrittlement of PWR vessels. Stephanie earned a PhD in Materials Science. She is also teaching Material Science at the University Pierre & Marie Curie (Paris) and is co-founder of Global-Vision, a French start-up supporting innovation in SMEs.
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