The DTU CEE Summer School 2019 “Data-Driven Analytics and Optimization for Energy Systems” was organized by the ELMA group from June 16 to June 21, 2019, and sponsored by by EES-UETP, Mosek ApS and RTE France.
With 60 participants (from universities and enterprises, and from all over the world) and 8 world-renowned lecturers, this event was again larger than the previously organized school. The summer school focused in particular on optimal power flow, distributionally robust optimization, convex relaxations, data-driven methods, machine learning and their applications to power systems. Students received tutorials on the application and interpretation of these techniques, by means of hands-on exercises. In addition, students were asked to disseminate their research to other students through poster presentations and peer review. The overall evaluation from 55 participants was as follows: excellent: 45.4%, good: 47.3%, fair: 7.3%, poor: 0%.
Presentation slides – link to videos:
|Munther Dahleh||A Marketplace for Data – Learning Linear Systems|
|Dolores Romero Morales||The Opportunities and Challenges of Mathematical Optimization for Data Science|
|Johanna Mathieu||Data‐Driven Distributionally Robust Optimization – Codes|
|Andrea Simonetto||Data‐Driven Optimization in Power Systems – Hands-on Exercises|
|Saverio Bolognani||Data‐Driven Control in Power Distribution Grids|
|Pierre Pinson||Statistical and Machine Learning for Forecasting – Part 2 – Part 3|
|Spyros Chatzivasileiadis||Data‐Driven Methods for Power System Security Assessment – Exercises – Codes – Database|
|Jalal Kazempour||Distributed Optimization – Part 2 – Part 3 – Part 4 – Exercises|
Saverio Bolognani – Paper
Pierre Pinson – Book Chapter
Andrea Simonetto – Paper