Principles and methodologies for REES power profiles prediction - MICROGRID Project Deliverable D2.1.1. (CROSBI ID 775229)
Druge vrste radova | elaborat/studija
Podaci o odgovornosti
Gulin, Marko ; Vašak, Mario ; Baotić, Mato ; Dragičević, Tomislav ; Duić, Neven ; Horvath, Kristian ;
engleski
Principles and methodologies for REES power profiles prediction - MICROGRID Project Deliverable D2.1.1.
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).
Power profiles prediction ; RES ; Wind turbine
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Podaci o izdanju
MICROGRID project web pages / deliverables
2012.
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