TY  - JOUR
TI  - Estimation of Solar Radiation Value using Artificial Intelligence Networks
AB  - Energy need in our country and in the world is increasing day by day. Due to the limited use of fossil fuels to meet this need, the trend towards renewable energy sources has gradually increased. Solar energy, which is considered as an inexhaustible energy source among renewable energy sources, is the most widely used and studied energy source. In this study, solar radiation value has been modeled by using the data obtained from 10 kW small scale solar power plant established in Selçuklu Region of Konya province. While performing this model, the data recorded over a year from the solar power plant and the data obtained from the general directorate of meteorology were used. In this model, the solar radiation value is estimated by using the temperature value in a small scale solar power plant, the voltage and power values obtained from the PV panel. As a result of the modeling, it was seen that the modeling was performed with 86% accuracy.
AU  - TERZIOGLU, HAKAN
AU  - ARSLAN, Mustafa
DO  - 10.31590/ejosat.822172
PY  - 2020
JO  - Avrupa Bilim ve Teknoloji Dergisi
VL  - 0
IS  - Ejosat Özel Sayı 2020 (ICCEES)
SN  - 2148-2683
SP  - 488
EP  - 497
DB  - TRDizin
UR  - http://search/yayin/detay/1136780
ER  -