A survey on AI-based scheduling models, optimization and prediction for hydropower generation : variants, challenges, and future directions
Year of publication: |
[2022]
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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 | Scheduling-Verfahren | Scheduling problem | Theorie | Theory | Mathematische Optimierung | Mathematical programming | Stochastischer Prozess | Stochastic process | Wasserkraftwerk | Hydropower plant | Lernprozess | Learning process | Künstliche Intelligenz | Artificial intelligence |
Extent: | 1 Online-Ressource (circa 28 Seiten) Illustrationen |
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Series: | Les cahiers du GERAD. - Montréal (Québec), Canada : GERAD, HÉC Montréal, ZDB-ID 3026340-2. - Vol. G-2022, 52 (Decembre 2022) |
Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Graue Literatur ; Non-commercial literature ; Arbeitspapier ; Working Paper |
Language: | English |
Source: | ECONIS - Online Catalogue of the ZBW |
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