Pregled bibliografske jedinice broj: 713915
Principles and methodologies for REES power profiles prediction - MICROGRID Project Deliverable D2.1.1.
Principles and methodologies for REES power profiles prediction - MICROGRID Project Deliverable D2.1.1., 2012. (elaborat/studija).
CROSBI ID: 713915 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Principles and methodologies for REES power profiles prediction - MICROGRID Project Deliverable D2.1.1.
Autori
Gulin, Marko ; Vašak, Mario ; Baotić, Mato ; Dragičević, Tomislav ; Duić, Neven ; Horvath, Kristian ;
Izvornik
MICROGRID project web pages / deliverables
Vrsta, podvrsta
Ostale vrste radova, elaborat/studija
Godina
2012
Ključne riječi
Predviđanje profila snage ; OIE ; Vjetroagregat
(Power profiles prediction ; RES ; Wind turbine)
Sažetak
In this report a neural-network-based identification of direct and diffuse solar irradiance models as static functions of geographical and weather data is proposed. For this purpose we use weather data ofWashington DC Dulles Intl. Airport (WDC Dulles) for the 10 year time period, available in National Solar Radiation Data Base (NSRDB).
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Strojarstvo, Temeljne tehničke znanosti
POVEZANOST RADA
Projekti:
120-1201918-1920 - Racionalno skladištenje energije za održivi razvoj energetike (Duić, Neven, MZOS ) ( CroRIS)
Ustanove:
Državni hidrometeorološki zavod,
Fakultet elektrotehnike i računarstva, Zagreb,
Fakultet strojarstva i brodogradnje, Zagreb
Profili:
Mato Baotić
(autor)
Neven Duić
(autor)
Marko Gulin
(autor)
Tomislav Dragičević
(autor)
Mario Vašak
(autor)
Kristian Horvath
(autor)
