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A survey on AI-based scheduling models, optimization and prediction for hydropower generation : variants, challenges, and future directions
Villeneuve, Yoan; Séguin, Sara; Chehri, Abdellah - 2022
Persistent link: https://www.econbiz.de/10013502350
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Quantifying the impact of scenario tree generation methods on the solution of the short-term hydroscheduling problem
Daadaa, Maissa; Séguin, Sara; Anjos, Miguel F.; … - 2022
Persistent link: https://www.econbiz.de/10013471543
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Stochastic short-term hydropower planning with inflow scenario trees
Séguin, Sara; Fleten, Stein-Erik; Côté, Pascal; … - In: European journal of operational research : EJOR 259 (2017) 3, pp. 1156-1168
Persistent link: https://www.econbiz.de/10011696343
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Short-term hydropower optimization in the day-ahead market using a nonlinear stochastic programming model
Jafari Aminabadi, Mohammad; Séguin, Sara; Fofana, Issouf; … - 2022
Persistent link: https://www.econbiz.de/10013471554
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Optimizing profile block bids in short-term hydropower scheduling : a two-phase model for the day-ahead market
Jafari Aminabadi, Mohammad; Séguin, Sara; Fleten, … - 2025
Persistent link: https://www.econbiz.de/10015386852