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Forecasting Electicity in Photovoltaic Power Plants Cover

Forecasting Electicity in Photovoltaic Power Plants

B&H Electrical Engineering
AHEAD OF PRINT
By: Aleksandra Ijačić,  Damir Špago,  Obrad Spaić and  Dragi Tiro  
Open Access
|Oct 2025

Authors

Aleksandra Ijačić

aleksandra.ijacic@fpm.ues.rs.ba

Faculty of Production and Management, University of East Sarajevo, Bosnia and Herzegovina

Damir Špago

Faculty of Mechanical Engineering, University “Džemal Bijedić”, Bosnia and Herzegovina

Obrad Spaić

Faculty of Production and Management, University of East Sarajevo, Bosnia and Herzegovina

Dragi Tiro

Faculty of Mechanical Engineering, University “Džemal Bijedić”, Bosnia and Herzegovina
DOI: https://doi.org/10.2478/bhee-2025-0009 | Journal eISSN: 2566-3151 | Journal ISSN: 2566-3143
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Language: English
Submitted on: Nov 19, 2024
Accepted on: Mar 11, 2025
Published on: Oct 8, 2025
Published by: Bosnia and Herzegovina National Committee CIGRÉ
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
photovoltaic power plants,
electricity forecasting,
artificial neural networks,
renewable energy
Related subjects:
Computer sciences,
Computer sciences, other,
Engineering,
Electrical engineering,
Fundamentals of electrical engineering,
Mechanical engineering,
Mechatronics and automotive

© 2025 Aleksandra Ijačić, Damir Špago, Obrad Spaić, Dragi Tiro, published by Bosnia and Herzegovina National Committee CIGRÉ
This work is licensed under the Creative Commons Attribution 4.0 License.

AHEAD OF PRINT