YYÜ GCRIS Basic veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.

Browsing by Author "Colak, Ilhami"

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    Impacts of Wind Speed and Humidity on the Performance of Photovoltaic Module
    (Ieee, 2019) Ayadi, Faten; Colak, Ilhami; Genc, Naci; Bulbul, Halil Ibrahim
    Photovoltaic modules present the most considered renewable energy source for non-solated and rural areas, thanks to its several benefits. Thus, in order to ensure sufficient production of energy by solar cells, they should be in operation. However, they face some factors, during their production periods, which affect their efficiency. This study has focused on the impacts of Wind speed and Humidity on electric parameters of Photovoltaic Modules like serial and shunt resistances, Current, Voltage and Power as well as their performance. It has been explained that the efficiency of solar cells can be varied not only by the temperature and the irradiance, but also by the Humidity and the Wind speed. Their influences have been demonstrated theoretically. The aim of this study is to take into consideration the effects of these two factors mutually when the Photovoltaic modules are in operation.
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    Multi-Period Prediction of Solar Radiation Using Arma and Arima Models
    (Elsevier Science Bv, 2015) Colak, Ilhami; Yesilbudak, Mehmet; Genc, Naci; Bayindir, Ramazan
    Due to the variations in weather conditions, solar power integration to the electricity grid at a high penetration rate can cause a threat for the grid stability. Therefore, it is required to predict the solar radiation parameter in order to ensure the quality and the security of the grid. In this study, initially, a 1-h time series model belong to the solar radiation parameter is created for multi-period predictions. Afterwards, autoregressive moving average (ARMA) and autoregressive integrated moving average (ARIMA) models are compared in terms of the goodness-of-fit value produced by the log-likelihood function. As a result of determining the best statistical models in multi-period predictions, one-period, two-period and three-period ahead predictions are carried out for the solar radiation parameter in a comprehensive way. Many feasible comparisons have been made for the solar radiation prediction.