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Enhancing electricity mix forecasting with artificial neural networks: A case study of the EU27
| Title: | Enhancing electricity mix forecasting with artificial neural networks: A case study of the EU27 | Authors: | Gvozdenac, Branka D   ; Gvozdenac, Dušan D |
Issue Date: | 2026 | Publication: | THERMAL SCIENCE | ISSN: | 0354-9836 Thermal Science Search Idenfier |
Publisher: | VINČA Institute of Nuclear Sciences | Type: | Article | Collation: | vol. 30 br. 4 Part A str. 2395-2411 | DOI: | 10.2298/TSCI250929008G | WoS-ID: | 001834637600001 | URI: | https://enauka.gov.rs/handle/123456789/1049906 | URL: | https://doiserbia.nb.rs/Article.aspx?id=0354-98362600008G | Project: | Ministry of Science, Technological Development and Innovation [451-03-137/2025-03/200156] Faculty of Technical Sciences, University of Novi Sad through project "Scientific and Artistic Research Work of Researchers in Teaching and Associate Positions at the Faculty of Technical Sciences, University of Novi Sad 2025" [01-50/295] |
Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | 23M23 |
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