The modern electricity grid is impacted enormously by uncertainty in production from renewables; emerging emissions markets; demand response; microgrids, and other technological, economic and political developments. This NSF-supported workshop brings together researchers from economics, electrical engineering, financial mathematics & engineering, stochastic optimization and practitioners from the fields of energy and finance to discuss practical problems and quantitative approaches and challenges involving stochastic, statistical and optimization models.
Speakers
Rene Aid
Universite Paris-Dauphine
Michel De Lara
Ecole des Ponts ParisTech
Yury Dvorkin
New York University
Richard Green
Imperial College London
Aparna Gupta
Rensselaer Polytechnic Institute
Somayeh Moazeni
Stevens Institute of Technology
John Moriarty
Queen Mary University
Scott Moura
University of California, Berkeley
Peter Tankov
ENSAE ParisTech
Hans Tuenter
Formerly of Nephila Climate
Panelists
Sarah Jordaan
Johns Hopkins University
Jacob Mays
Cornell University
Rana Mukerji
NYISO
Glen Swindle
Scoville Risk Partners
Organizers
Michael Ludkovski
University of California, Santa Barbara
Ronnie Sircar
Princeton University