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Sara Séguin
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Stochastic short-term hydropower planning with inflow scenario trees
S Séguin, SE Fleten, P Côté, A Pichler, C Audet
European Journal of Operational Research 259 (3), 1156-1168, 2017
922017
Self-scheduling short-term unit commitment and loading problem
S Séguin, P Côté, C Audet
IEEE Transactions on Power Systems 31 (1), 133-142, 2015
712015
An optimization model to maximize energy generation in short-term hydropower unit commitment using efficiency points
M Daadaa, S Séguin, K Demeester, MF Anjos
International Journal of Electrical Power & Energy Systems 125, 106419, 2021
532021
Scenario-tree modeling for stochastic short-term hydropower operations planning
S Séguin, C Audet, P Côté
Journal of Water Resources Planning and Management 143 (12), 04017073, 2017
322017
Ai-based scheduling models, optimization, and prediction for hydropower generation: Opportunities, issues, and future directions
Y Villeneuve, S Séguin, A Chehri
Energies 16 (8), 3335, 2023
272023
Robotic process automation (RPA) using an integer linear programming formulation
S Seguin, I Benkalai
Cybernetics and systems 51 (4), 357-369, 2020
262020
Improving patient transportation in hospitals using a mixed-integer programming model
S Séguin, Y Villeneuve, CH Blouin-Delisle
Operations Research for Health Care 23, 100202, 2019
222019
Minimizing the number of robots required for a Robotic Process Automation (RPA) problem
S Séguin, H Tremblay, I Benkalaï, DE Perron-Chouinard, X Lebeuf
Procedia Computer Science 192, 2689-2698, 2021
192021
Short-term hydropower optimization in the day-ahead market using a nonlinear stochastic programming model
M Jafari Aminabadi, S Séguin, I Fofana, SE Fleten, EK Aasgård
Energy Systems, 1-25, 2023
72023
Hydropower optimization
I Benkalai, S Séguin
Les Cahiers du GERAD ISSN 711, 2440, 2020
72020
Computing a lower bound for the solution of a Robotic Process Automation (RPA) problem using network flows
I Benkalaï, S Séguin, H Tremblay, G Glangine
2020 7th International Conference on Control, Decision and Information …, 2020
62020
On the impact of the power production function approximation on hydropower maintenance scheduling
É Edom, MF Anjos, C D'Ambrosio, W van Ackooij, P Côté, S Séguin
Groupe d’études et de recherche en analyse des décisions, 2020
52020
Hybrid genetic algorithms and heuristics for nonlinear short-term hydropower optimization: A comparative analysis
MJ Aminabadi, S Séguin, I Fofana
Procedia Computer Science 246, 282-291, 2024
32024
Robotic Process Automation (RPA) using a heuristic method and the effective resistance of a graph
H Tremblay, S Séguin, LA Boily, V Du Paul, S Lalancette
Procedia Computer Science 225, 3388-3394, 2023
32023
Quantifying the impact of scenario tree generation methods on the solution of the short-term hydroscheduling problem
M Daadaa, S Séguin, MF Anjos, K Demeester
Groupe d’études et de recherche en analyse des décisions, 2022
32022
Optimisation stochastique de la répartition spatio-temporelle d'un volume d'eau aux groupes turbo-alternateurs d'un système de production hydroélectrique
S Séguin
Ecole Polytechnique, Montreal (Canada), 2016
32016
Quantifying the impact of scenario tree generation and reduction methods on the solution of the short-term hydroscheduling problem
M Daadaa, S Séguin, MF Anjos, K Demeester
Energy Systems, 1-30, 2023
22023
A survey on AI-based scheduling models, optimization and prediction for hydropower generation: Variants, chal-lenges, and future directions
Y Villeneuve, S Séguin, A Chehri
Les Cahiers du GERAD ISSN 711, 2440, 2022
22022
Scenario tree modeling for stochastic short-term hydropower operations planning
S Séguin, P Côté, C Audet
GERAD, 2016
22016
Optimizing profile block bids in short-term hydropower scheduling: A two-phase model for the day-ahead market
MJ Aminabadi, S Séguin, SE Fleten, EK Aasgård
Les Cahiers du GERAD ISSN 711, 2440, 2025
12025
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Articles 1–20