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

2014

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

2015

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).

2016

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).

2017

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.

2018

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.

2020

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.

2021

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.

2022

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.

2023

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,