Solar energy potential for heating and cooling systems in big cities of Turkey

Comparison of LLR, MLP, Elman, NNARX and ANFIS Models—with a case study in solar radiation estimation

“…Based on this argument, Bristow and Campbell (1984) suggested an empirical relationship for daily global radiation, as a function of daily net radiation and the difference between maximum and minimum temperature. Furthermore, new approaches for predicting solar radiation series have been developed using artificial neural networks (ANN) reported from different parts of the world, particularly from Turkey (Dinc -er et al, 1996;Saylan et al, 2003). Despite an abundance of studies on prediction and modelling of solar radiation and many other variables using nonlinear techniques like artificial neural networks, there are still many questions that need to be answered.…”

Yapay Sinir Ağları ile Atmosferik Parametreler Kullanılarak Türkiye için Güneş Radyasyonu Modellemesi

“…Therefore, predictions about solar radiations at specific locations are still useful for many practical purposes. Several studies have been presented [11,12] for the prediction of solar radiation in various cities and locations in Turkey. Solar radiation intercepted at the earth's surface is of paramount importance for various applications, such as in the infrastructure and construction industry, estimation of crop productivity, environmental and agrometeorological research, atmospheric physics and the practical utilization of renewable energy resources [13].…”

Investigation of Absorption Cooling Application Powered by Solar Energy in the South Coast Region of Turkey

“…Consequently, it is of worth to investigate and conduct research on this solar energy source [10]. According to meteorological data which were taken from Turkish State Meteorological Service, the yearly average solar-radiation is 3,6 kWh/m 2 day, and the total yearly radiation period is 2610 hours [11].…”