Quentin Jacquet, PhD

EDF R&D (Saclay) quentin.jacquet@edf.fr

My research is about optimization, Principal-Agent models, quantization, ergodic control and applications to electricity pricing.

I defended my PhD "Stackelberg games, optimal pricing and application to electricity markets" on October 24, 2023 at Ecole polytechnique. You can find the complete manuscript here and the slides of the defense there. I was supervised by Stéphane Gaubert (INRIA, CMAP), Wim Van Ackooij (EDF) and Clémence Alasseur (EDF).


Publications

Preprint

  • A Quantization Procedure for Nonlinear Pricing with an Application to Electricity Markets
    Quentin Jacquet, Wim van Ackooij, Clémence Alasseur, Stéphane Gaubert
    arXiv, 2023, To appear in the proceedings of the 62nd Conference on Decision and Control (IEEE CDC)
  • Entropic Lower Bound of Cardinality for Sparse Optimization
    Quentin Jacquet, Agnes Bialecki, Laurent El Ghaoui, Stéphane Gaubert, Riadh Zorgati
    hal, 2022
  • Tight Bound for Sum of Heterogeneous Random Variables: Application to Chance Constrained Programming
    Quentin Jacquet, Riadh Zorgati
    arXiv, 2022
  • A Rank-Based Reward between a Principal and a Field of Agents: Application to Energy Savings
    Clémence Alasseur, Erhan Bayraktar, Roxana Dumitrescu, Quentin Jacquet
    arXiv, 2022

Publications


Talks

Talks

  • A Rank-Based Reward between a Principal and a Field of Agents: Application to Energy Savings
    SIAM OP23 (Seattle) and SIAM FM23 (Philadelphia), June 2023, Slides
  • Optimalité des politiques de rabais récurrents pour un modèle bi-niveau avec inertie des clients
    Congrès ROADEF, February 2023, Slides
  • Ergodic Control of a Heterogeneous Population and application to Electricity Pricing
    IEEE CDC 2022 (Cancun), December 2022, Video, Slides
  • A Rank-Based Reward between a Principal and a Field of Agents: Application to Energy Savings
    PGMO DAYS, December 2022, Slides
  • Bilevel optimization for the electricity pricing
    Optimization at the Second Level, Schloss Dagstuhl, November, 2022, Slides
  • Une régularisation quadratique pour la tarification de contrats d'électricité
    Congrès ROADEF, February 2022
  • A Quadratic Regularization for the Multi-Attribute Unit-Demand Envy-Free Pricing Problem
    PGMO DAYS, December 2021

Prices

  • Optimisation de la planification des maintenances dans les ouvrages hydrauliques
    Prix du mémoire de master en RO/AD, March 2020
    EDF, ROADEF


Teaching

  • Introduction to quadratic optimization (AO101)
    1st year at ENSTA Paris (equivalent L3)
    • Convex optimization
    • Algorithms for unconstrained and linearly constrained problem

  • Introduction to C++ (OMI303)
    2nd year at ENSAE Paris (equivalent M1)
  • Project in Python, see here
    1st year at ENSAE Paris (equivalent L3)

Resume

See here for a pdf version of my french resume

Experience

Phd Student

EDF R&D, CMAP, Ecole Polytechnique

Optimization and design of electricity offers.
Bilevel methods, Discrete optimization, Principal-agent theory
C++, Python

November 2020 - Present

End-of-M2 Internship

EDF R&D

Maintenance schedulling for hydropower plants.
Discrete Optimization, Bundle methods
C++, Python

March 2020 - October 2020

Second Gap-year Internship

Artelys

Optimization of heating network (PlanHeat)
Non-linear optimization, User interface design
Python, AMPL

March 2019 - August 2019

First Gap-year Internship

A-Systems

Integration of energy constraints in existing feed software.
Linear Programming, Solver benchmark
Python

September 2018 - March 2019

Education

Master in Operations Research

MPRO
September 2019 - September 2020

Master of Engineering

ENSTA Paris
September 2016 - September 2020