Short-mid-term solar power prediction by using artificial neural networks

Ercan Izgi*, Ahmet Öztopal, Bihter Yerli, Mustafa Kemal Kaymak, Ahmet Duran Şahin

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Dergiye katkıMakalebilirkişi

205 Atıf (Scopus)

Özet

Solar irradiation is one of the major renewable energy sources and technologies related with this source have reached to high level applications. Prediction of solar irradiation shows some uncertainties depending on atmospheric parameters such as temperature, cloud amount, dust and relative humidity. These conditions add new uncertainties to the prediction of this astronomical parameter. In this case, prediction of generated electricity by photovoltaic or other solar technologies could be better than directly solar irradiation. In this paper, firstly, Artificial Neural Networks (ANNs) methodology is applied to data obtained from a 750. W power capacity of solar PV panel. The main objective of this paper is to determine time horizon having the highest representative for generated electricity prediction of small scale solar power system applications. It is seen that 5. min time horizon gives the best solar power prediction for short term and 35. min could be used for medium terms in April. In addition, these time horizons have increased to 3 and 40. min for very short time and medium time prediction respectively during August. During April and August Root Mean Square Errors (RMSEs) between measured and testing values changed between 33-55. W and 37-63. W ranges respectively. Especially, during August for solar irradiation, stationary conditions are observed and these situations let ANN predict easily generated electricity from 30 to 300. min ahead.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)725-733
Sayfa sayısı9
DergiSolar Energy
Hacim86
Basın numarası2
DOI'lar
Yayın durumuYayınlandı - Şub 2012

Parmak izi

Short-mid-term solar power prediction by using artificial neural networks' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.

Alıntı Yap