This webinar will provide an overview of data science, including machine learning and optimization, and present a few applications in the context of Smart Grid. Professor El Ghaoui will describe work done in collaboration with different units at EDF. 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.
Data Science and Smart Grid Applications presented by Prof. Laurent El Ghaoui and Dr. Stephanie Jumel
Posted: 15 Sep 2016
Authors:Prof. Laurent El Ghaoui and Dr. Stephanie Jumel
Primary Committee:IEEE Smart Grid Webinar Series
Sponsoring Society Members: Free
IEEE Members: $11.00
Please sign in at the top of the page. If you are not an IEEE member, please create a free account to make a purchase or become a society member to have access to all materials for free.
Overview of the Microgrid Controller Innovation Challenge at the NREL presented by Sarah Truitt, Przemyslaw Koralewicz, Erfan Ibrahim, and Anne Miller
DER and Grid Management - Putting DERMS on the Desk presented by Alex Portilla, Jesse Gantz and Ethan Boardman
Architectures and Algorithms for Distributed Generation Control of Inertia-Less AC Microgrids presented by Alejandro Dominguez-Garcia
P2030.10 Standard for DC Microgrids for Rural and Remote Electricity Access Applications presented by Brian T. Patterson
EVs, Chargers, Grid Integration and Lessons Learned from Public Chargers presented by Doug Houseman, Sean Morash and Scott Fisher
Interview with Peter Cappers - Impacts of SGIG Consumer Behavior Studies of Time-Based Rates on Customer Acceptance, Retention and Response
Impacts of SGIG Consumer Behavior Studies of Time-Based Rates on Customer Acceptance, Retention and Response with Peter Cappers