This event celebrates the PhD graduation of Yuting Mou, Gilles Bertrand and Ilyès Mezghani by putting together a 2-day energy event at UCLouvain. The event gathered 230 registered participants including academics, policy makers, and industrial stakeholders.
Dates: The event was held on December 7-8, 2020.
Location. The event is held fully online due to COVID-19.
Videos and presentations. The event has been held as a Teams Meeting. Sessions have been recorded, and can be accessed by clicking on the session titles below. Presentations have also been made available by the speakers, and can be accessed by clicking on the presentation titles below.
Abstracts. The list of abstracts for the presentations is available in the following link.
Program Day 1 (all times are in CET)
| Welcome and keynote (video) | |
| 11:15 – 11:30 | Welcome by Anthony Papavasiliou (UCLouvain) |
| 11:30 – 12:30 | Keynote presentation by Andreas Tirez (CREG) Fundamentals of market functioning: the role of price signals and how to come to good price signals in power markets |
| 12:30 – 14:00 | Break |
| Session 1: Machine and Reinforcement Learning Problems in Electricity Markets (video) Moderator: Gilles Bertrand (UCLouvain) | |
| 14:00 – 14:40 | Johan Maricq (ELIA) and Wolf Berwouts (N-SIDE) Using reinforcement learning to perform topology optimisation |
| 14:40 – 15:20 | Anthony Papavasiliou (UCLouvain) A Modeling Framework for Analyzing European Balancing Markets |
| 15:20 – 15:40 | Break |
| 15:40 – 16:20 | Olivier Martin (ENGIE) Algorithmic Trading on German Intraday Power Markets |
| 16:20 – 17:00 | Gilles Bertrand (UCLouvain) Adaptive trading in the Continuous Intraday Market using Reinforcement Learning |
Program Day 2 (all times are in CET)
| Session 2: Mobilizing distributed demand-side flexibility through advanced analytics (video) Moderator: Yuting Mou (UCLouvain) | |
| 09:30 – 10:10 | Dimitrios Papadaskalopoulos (Imperial College London and NTUA) Distributed optimisation, game-theoretic and reinforcement learning approaches for investigating the impacts of demand flexibility in emerging electricity markets |
| 10:10 – 10:50 | Leonardo Meeus (Vlerick School of Business and Florence School of Regulation) The Future of Electricity Markets with Distribution Network Constraints |
| 10:50 – 11:10 | Break |
| 11:10 – 11:50 | Dimitri Tomanos (ENGIE Impact) Integration of Flexibility Mechanisms into Decentralized Systems Energy Production Sizing Optimization Problem |
| 11:50 – 12:30 | Yuting Mou (VITO) Comparison of Priority Service and Multilevel Demand Subscription for Mobilizing Residential Demand Respone |
| 12:30 – 14:00 | Break |
| Session 3: Algorithmic and Market Design Topics in T&D Coordination and Local Energy Markets (video) Moderator: Ilyès Mezghani (UCLouvain) | |
| 14:00 – 14:40 | Ibrahim Abada (ENGIE Impact) The Snowball Effect of Energy Communities |
| 14:40 – 15:20 | Ilyès Mezghani (UCLouvain) Models and Algorithms for Clearing Integrated T&D Markets with ACOPF and Non-Convex Offers |
| 15:20 – 15:40 | Break |
| 15:40 – 16:20 | Burak Kocuk (Sabancı University) An Analysis of the Multi-Period Optimal Power Flow Problem with Electric Vehicles under Emission Considerations |
| 16:20 – 17:00 | Ignacio Aravena (Lawrence Livermore National Laboratory) Solving realistic security-constrained optimal power flow problems: lessons learned from ARPA-E Grid Optimization Competition Challenge 1 |