6th International Conference on Electrical, Computer and Energy Technologies - ICECET 2026, Rome (Italy). 06-09 July 2026
Summary:
Euphemia is the algorithm used in the Single Day-Ahead Coupling (SDAC) to clear the European Day-Ahead Market. Scalable Complex Orders (SCOs) were introduced in 2025 to represent generation units fixed costs and technical minima, while improving the scalability of the clearing process. To quantify the impact of SCOs, we analyze one month of data from the Iberian market and simulate three counterfactual scenarios in which SCOs are replaced by other available order types.We then compare these scenarios with the historical market outcome. Results indicate that SCOs help units recover fixed costs and respect the technical minimum, while substantially reducing the algorithm running time.
Spanish layman's summary:
Hemos simulado escenarios contrafactuales en los que las Scalable Complex Orders (SCOs) de Euphemia se sustituyeron por otros tipos de ofertas. Los resultados indican que las SCO ayudan a las unidades a recuperar los costes fijos, a la vez que mejoran la escalabilidad.
English layman's summary:
Scalable Complex Orders (SCOs) were introduced in Euphemia in 2025. We have simulated counterfactual scenarios in which SCOs are replaced by other available order types. Results indicate that SCOs help units recover fixed costs, while substantially reducing the algorithm running time.
Keywords: electricity markets, euphemia algorithm, single day-ahead coupling, scalable complex orders
DOI: 
https://doi.org/10.1109/ICECET65726.2026.11632381
Published in: ICECET 2026: Conference proceedings, pp: 1-5, ISBN: 979-8-3195-0599-6
Publication date: 12-Aug-2026.
Citation:
E. Insunza Díaz, J. Portela, A. Muñoz, "Scalable Complex Orders: How Euphemia Algorithm Improved Scalability while Facilitating Participants Bidding", presented at 6th International Conference on Electrical, Computer and Energy Technologies - ICECET 2026, Rome, Italy, 06-09 July 2026. In: ICECET 2026: Conference proceedings, pp. 1-5, doi: 10.1109/ICECET65726.2026.11632381
IIT-26-054C
