Constellation, le dépôt institutionnel de l'Université du Québec à Chicoutimi

Daadaa Maissa, Séguin Sara, Anjos Miguel F. et Demeester Kenjy. (2023). Quantifying the impact of scenario tree generation and reduction methods on the solution of the short-term hydroscheduling problem. Energy Systems,

Jafari Reza, Séguin Sara, Fofana Issouf, Fleten Stein-Erik et Aasgård E. K.. (2023). Short-term hydropower optimization in the day-ahead market using a nonlinear stochastic programming model. Energy Systems,

Glangine Geofrey, Seguin Sara et Demeester Kenjy. (2022). A fast solution approach to solve the generator maintenance scheduling and hydropower production problems simultaneously. Procedia Computer Science, 207, p. 3802-3811.

Daadaa Maissa, Séguin Sara, Demeester Kenjy et Anjos Miguel F.. (2021). An optimization model to maximize energy generation in short-term hydropower unit commitment using efficiency points. International Journal of Electrical Power & Energy Systems, 125,

Séguin Sara, Tremblay Hugo, Benkalai Imene, Perron-Chouinard David-Emmanuel et Lebeuf Xavier. (2021). Minimizing the number of robots required for a robotic process automation (RPA) problem. Procedia Computer Science, 192, p. 2689-2698.

Benkalai Imène, Séguin Sara, Tremblay Hugo et Glangine Geoffrey. (2020). Computing a lower bound for the solution of a robotic process automation (RPA) problem using network flows. Dans : 7th International Conference on Control, Decision and Information Technologies (CoDIT) , June 29-July 2, 2020, Prague, Czech Republic.

Séguin Sara et Côté Pascal. (2018). Blackbox optimization for chance constrained hydro scheduling problems. Dans Proceedings of the 6th International Workshop on Hydro Scheduling in Competitive Electricity Markets. (p. 1-7). The International Workshop on Hydro Scheduling in Competitive Markets. Switzerland : Springer International Publishing.

Séguin Sara, Audet Charles et Côté Pascal. (2017). Scenario tree modeling for stochastic short-term hydropower operations planning. Journal of Water Resources Planning and Management, 143, (12),

Séguin Sara, Fleten Stein-Erik, Côté Pascal, Pichler Alois et Audet Charles. (2017). Stochastic short-term hydropower planning with inflow scenario trees. European Journal of Operational Research, 259, (3), p. 1156-1168.

Séguin Sara, Côté Pascal et Audet Charles. (2016). Self-scheduling short-term unit commitment and loading problem. IEEE Transactions on Power Systems, 31, (1), p. 133-142.

Séguin Sara. (2016). Optimisation stochastique de la répartition spatio-temporelle d’un volume d’eau aux groupes turbo-alternateurs d’un système de production hydroélectrique. Thèse de doctorat, École Polytechnique, Université de Montréal.

Séguin Sara, Côté Pascal et Audet Charles. (2016). Scenario tree modeling for stochastic short-term hydropower operations planning. Groupe d’études et de recherche en analyse des décisions (GERAD).

Séguin Sara, Fleten Stein-Erik, Côté Pascal, Pichler Alois et Audet Charles. (2015). Stochastic short-term hydropower planning with inflow scenario trees. Groupe d’études et de recherche en analyse des décisions (GERAD).

Séguin Sara, Côté Pascal et Audet Charles. (2014). Short-term unit commitment and loading problem. GERAD.