Evolutionary Computation in the Energy Domain – Winter Session
About
Following the success of the previous editions at IEEE PES; CEC; GECCO, WCCI, we are launching another challenging edition of the competition at major conferences in the field of computational intelligence.
This edition of the IEEE SSCI 2025 competition proposes one track in the energy domain:
Track 1) Risk-based optimization of aggregators’ day-ahead energy resource management (ERM) considering uncertainty associated with the high penetration of distributed energy resources (DER). This testbed is constructed under the same framework of past competitions (therefore, former competitors can adapt their algorithms to this new track), representing a centralized day-ahead ERM in a smart grid located in a 13-bus distribution network using a 15-scenario case study with 3 of these scenarios considered as extreme events (high impact, and low probability). A conditional value-at-risk (CVaR) mechanism is used to measure the risk associated with the extreme events for a confidence level (α) of 95%. We also add some restrictions to the initialization of the initial solution and the allowed repairs and tweak-heuristics.
Note: The track is developed to run under the same framework as past competitions.
Guidelines, rules, and a full description are available on the website:
https://www.gecad.isep.ipp.pt/ERM-competitions/2025-2/
Important Dates:
Deadlines:
(The results can still be improved until 7th March, even if submitted in January)
Submission deadline (Competition participants): 10th January
Notification of acceptance (Competition participants): 20th January
Early registration deadline (for competition attendees ONLY): 27th January
IEEE CIS PRIZE:
(TBD)
Competition Organizers:
José Almeida, GECAD, Polytechnic of Porto (jorga@isep.ipp.pt)
Fernando Lezama, GECAD, Polytechnic of Porto (flz@isep.ipp.pt)
Joao Soares, GECAD, Polytechnic of Porto (jan@isep.ipp.pt)
Bruno Canizes, GECAD, Polytechnic of Porto (bmc@isep.ipp.pt)
Filipe Sousa, GECAD, Polytechnic of Porto (ffeso@isep.ipp.pt)
Zita Vale, Polytechnic of Porto (zav@isep.ipp.pt)
Please send an email with any questions for the above contacts.
