Pregled bibliografske jedinice broj: 709930
Predictions of Cloud Movements and the Sun Cover Duration
Predictions of Cloud Movements and the Sun Cover Duration // MIPRO Conference proceedings / Petar Biljanović (ur.).
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2014. str. 1460-1465 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), stručni)
CROSBI ID: 709930 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Predictions of Cloud Movements and the Sun Cover Duration
Autori
Radovan, Aleksander ; Ban, Željko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), stručni
Izvornik
MIPRO Conference proceedings
/ Petar Biljanović - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2014, 1460-1465
ISBN
978-953-233-078-6
Skup
MIPRO 2014. - 35. međunarodni skup za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku
Mjesto i datum
Opatija, Hrvatska, 26.05.2014. - 30.05.2014
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
renewable energy sources ; cloud movement prediction ; Sun cover duration ; centroid ; HSV
Sažetak
In order to optimally control the energy flow in the microgrid, consist of several renewable energy sources, including solar photo electric system and storage system, it is essential to know availability of the specific energy source. So, it is necessary to determine the exact moment of the Sun shading the by clouds as well as shadow duration. These parameters could be obtained by cloud movement tracking system. The cloud movement tracking system is based on the detection of cloud edges and determining angular velocity vector which describes the speed and direction of cloud movements. As clouds change their shapes, directions and speeds, the position of every cloud is determined according to his centroid. This paper deals with cloud recognition and movements analysis based on video stream obtained by camera with resolution 1920x1080 pixels and refresh rate of 25 frames per second. The clouds detection is based on the HSV (Hue-Saturation- Value) color model in combination with mathematical morphological operations of erosion and dilation. Video and image processing was performed by application developed in Java programming language using the JavaCV library that offers the functionalities of computer vision.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
