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...
Main Authors: | Zahra Kayhomayoon, Naser Arya Azar, Sami Ghordoyee Milan, Ronny Berndtsson, Sajad Najafi Marghmaleki |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2023-08-01
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Series: | Applied Water Science |
Subjects: | |
Online Access: | https://doi.org/10.1007/s13201-023-02001-5 |
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