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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
802017
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
612015
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
372021
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
272017
Robotic process automation (RPA) using an integer linear programming formulation
S Séguin, I Benkalai
Cybernetics and systems 51 (4), 357-369, 2020
142020
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
102019
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
92021
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
52023
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
32020
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
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
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
GERAD, HÉC Montréal, 2022
22022
Scenario tree modeling for stochastic short-term hydropower operations planning
S Séguin, P Côté, C Audet
GERAD, 2016
22016
A fast solution approach to solve the generator maintenance scheduling and hydropower production problems simultaneously
G Glangine, S Seguin, K Demeester
Procedia Computer Science 207, 3808-3817, 2022
12022
Hydropower optimization
S Séguin
Les Cahiers du GERAD ISSN 711, 2440, 2020
12020
Short-term unit commitment and loading problem
S Séguin, P Côté, C Audet
GERAD, 2014
12014
A novel approach to nonlinear short-term hydropower optimization using a combination of heuristic and meta-heuristic algorithm
MJ Aminabadi, S Séguin, I Fofana
Les Cahiers du GERAD ISSN 711, 2440, 2023
2023
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
2023
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
2023
Optimizing strategies for short-term hydropower schedul-ing using a blackbox optimization framework
M Daadaa, S Séguin, MF Anjos, K Demeester
Les Cahiers du GERAD ISSN 711, 2440, 2023
2023
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