Modeling of solar radiation using remote sensing and artificial neural network in Turkey

Application of the Artificial Neural Network model for prediction of monthly Standardized Precipitation and Evapotranspiration Index using hydrometeorological parameters and climate indices in eastern Australia

“…ANN has been applied extensively in many parts of the world including Greece (Nastos et al, 2014), China (Wu et al, 2001), India (Chattopadhyay, 2007;Chattopadhyay and Chattopadhyay, 2008), Iran (Morid et al, 2007), Ethiopia (Belayneh and Adamowski, 2012), Kenya (Masinde, 2013), Turkey (Şenkal et al, 2012;Şenkal, 2010;Şenkal and Kuleli, 2009) In forecasting problems based on data-driven paradigms, synoptic-scale indices are often used as predictants for medium-range forecasting to explain the behavior of future climate (Dijk et al, 2013;McAlpine et al, 2009;Timbal and Fawcett, 2013;Ummenhofer et al, 2009); (Franks and Kuczera, 2002;Kiem and Franks, 2004;Kiem et al, 2003;VerdonKidd and Kiem, 2010). For the case of Australia, researcher have found that the Millennium drought was related to a combination of intensified sea level pressure across southern Australia (Hope et al, 2010), the subtropical ridge (belt of high-pressure systems representing the descending Hadley cell) and the ENSO cycle (Verdon-Kidd and ).…”

Cloud Cover Forecasting from METEOSAT Data

“…Janjai et al (2009) [1] derived global hourly solar radiation using the Geosynchronous Meteorological Satellite 5 (GMS-5) satellite. More recently, Şencal (2010) [2] used remote sensing and Artificial Neural Networks (ANNs) to predict global solar radiation without any meteorological data and with a relatively good agreement between measures and predicted values. Hourly global radiation was estimated by Lu et al (2011) [3], using images of the visible and infrared bands of the Multi-purpose Transport Satellite (MTSAT) and the Geostationary Operational Environmental Satellite (GOES).…”

Prediction of Cloudiness in Short Time Periods using Techniques of Remote Sensing and Image Processing

“…For their part, Zarzalejo et al (2005) [3] developed a model based on ANNs to quantify the influence of the satellite detected clouds on hourly solar irradiation. More recently, Şenkal (2010) [4] used remote sensing and ANNs to predict global solar radiation without any meteorological data and with a relatively good connection between measures and predicted values. Also, the cloudiness has been analyzed through the use of satellite images.…”