Yapay nöron ağları (YNA) ile güneş radyasyonu tahminlenmesi.


Tezin Türü: Yüksek Lisans

Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Fen Edebiyat Fakültesi, Fizik Bölümü, Türkiye

Tezin Onay Tarihi: 2019

Öğrenci: Erol Can Akbaba

Danışman: BÜLENT GÜLTEKİN AKINOĞLU

Özet:

Estimation of solar energy is a task with many benefits to a diverse group of people. This purpose is pursued with many different methodologies. Artificial Neural Networks (ANNs) are the novel methods of choice in the last decade. We compare the classical solar irradiation estimation methods with different ANN schemes including different inputs, data amount and estimation target. Our analyses show that the use of ANN to predict solar irradiation reaching the Earth’s surface gives similar results with that of the classical regression approaches. The small difference between these two approaches lies within the instrumentation accuracy of the measuring devices.