Application of soft computing and evolutionary algorithms to estimate hydropower potential in multi-purpose reservoirs

Application of soft computing and evolutionary algorithms to estimate hydropower potential in multi-purpose reservoirs

Abstract Hydropower is a clean and efficient technology for producing renewable energy. Assessment and forecasting of hydropower production are important for strategic decision-making. This study aimed to use machine learning models, including adaptive neuro-fuzzy inference system (ANFIS), gene expr...

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Bibliographic Details
Main Authors: Zahra Kayhomayoon, Naser Arya Azar, Sami Ghordoyee Milan, Ronny Berndtsson, Sajad Najafi Marghmaleki
Format: Article
Language:English
Published: SpringerOpen 2023-08-01
Series:Applied Water Science
Subjects:
Hydroelectricity
Renewable electrical energy
Water management
Machine learning
Multi-purpose reservoirs
Online Access:https://doi.org/10.1007/s13201-023-02001-5

Internet

https://doi.org/10.1007/s13201-023-02001-5

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