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Application of Neural Networks for Predicting Energy Production From Hybrid Power Systems Considering the Influence of Stohastic Weather Changes Cover

Application of Neural Networks for Predicting Energy Production From Hybrid Power Systems Considering the Influence of Stohastic Weather Changes

B&H Electrical Engineering
Volume 18 (2024): Issue 2 (December 2024)
By: Adin Memić,  Maja Muftić Dedović,  Nedis Dautbašić and  Medina Kapo  
Open Access
|Dec 2024

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DOI: https://doi.org/10.2478/bhee-2024-0006 | Journal eISSN: 2566-3151 | Journal ISSN: 2566-3143
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Language: English
Submitted on: May 15, 2024
Accepted on: Jul 7, 2024
Published on: Dec 21, 2024
Published by: Bosnia and Herzegovina National Committee CIGRÉ
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
hybrid power plant,
neural network,
machine learning,
renewable sources,
solar power plant,
wind farm
Related subjects:
Computer sciences,
Computer sciences, other,
Engineering,
Electrical engineering,
Fundamentals of electrical engineering,
Mechanical engineering,
Mechatronics and automotive

© 2024 Adin Memić, Maja Muftić Dedović, Nedis Dautbašić, Medina Kapo, published by Bosnia and Herzegovina National Committee CIGRÉ
This work is licensed under the Creative Commons Attribution 4.0 License.

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