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Capturing features of hourly-resolution energy models through statistical annual indicators
| Naziv: | Capturing features of hourly-resolution energy models through statistical annual indicators | Autori: | Parrado-Hernando, G.; Herc, Luka; Pfeifer, Antun; Capellán-Perez, Iñigo; Batas Bjelić, Ilija   ; Duić, Neven; Frechoso-Escudero, Fernando; Miguel González, Luis Javier; Gjorgievski, Vladimir |
Godina: | 2022 | Publikacija: | Renewable Energy | ISSN: | 0960-1481 Renewable Energy Pretraži identifikator |
Tip rezultata: | Naučni članak | Kolacija: | vol. 197 str. 1192-1223 | DOI: | 10.1016/j.renene.2022.07.040 | WoS-ID: | 000858970600004 | Scopus-ID: | 2-s2.0-85136509630 | URI: | https://dais.sanu.ac.rs/123456789/13495 https://enauka.gov.rs/handle/123456789/576210 |
Projekat: | LOCOMOTION, funded through European Union's Horizon 2020 research and innovation programme, Grant No. 821105 Juan de la Cierva-Incorporación Research Fellowship of the Ministry of Science and Innovation of Spain (no. IJC2020-046215-I) |
M-kategorija: | 21aM21a - Vodeći međunarodni časopis kategorije M21a |
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