A survey on AI-based scheduling models, optimization and prediction for hydropower generation : variants, challenges, and future directions
Yoan Villeneuve, Sara Séguin, Abdellah Chehr
| Year of publication: |
[2022]
|
|---|---|
| Authors: | Villeneuve, Yoan ; Séguin, Sara ; Chehri, Abdellah |
| Publisher: |
Montréal (Québec), Canada : GERAD, HÉC Montréal |
| Subject: | Hydropower | hydropower scheduling | machine learning | optimization | stochastic programming | linear regression | random forest | reinforcement learning | Deep Neural Networks | Wasserkraft | Neuronale Netze | Neural networks | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory | Scheduling-Verfahren | Scheduling problem | Mathematische Optimierung | Mathematical programming | Stochastischer Prozess | Stochastic process | Lernprozess | Learning process | Algorithmus | Algorithm | Prognoseverfahren | Forecasting model |
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