Türkiye için gri kurt optimizasyon algoritması ile yapay sinir ağlarını kullanarak enerji tüketiminin tahmini

Yıl 2019, Cilt: 7 Sayı: 2, 245 - 262, 11.06.2019

Ergun Uzlu

https://doi.org/10.29109/gujsc.519553

Cited By: 6

Öz

Bu
çalışmanın amacı gri kurt optimizasyon (GKO) algoritması ile eğitilmiş bir
yapay sinir ağı (YSA) modelini kullanarak Türkiye’nin enerji tüketimini tahmin
etmektir. Modelde gayri safi yurt içi hasıla, nüfus, ithalat ve ihracat
verileri bağımsız değişken olarak seçilmiştir. Sunulan modelin
uygulanabilirliğini ve doğruluğunu değerlendirmek için,  YSA-GKO modeli yapay arı kolonisi (YAK)
algoritması ve geri yayılımlı (GY) algoritma ile eğitilmiş YSA modelleri ile
karşılaştırılmıştır. Yapılan karşılaştırmalar YSA-GKO modelinin YSA-YAK ve
YSA-GY modellerinden daha üstün olduğunu göstermiştir. YSA-GKO modeli
kullanılarak Türkiye’nin enerji tüketimi iki farklı senaryoya göre 2023’e kadar
tahmin edilmiştir. Elde edilen sonuçlar Enerji ve Tabi Kaynaklar Bakanlığı ve
literatürdeki çalışmalardan elde edilen sonuçlarla karşılaştırılmıştır.
Sonuçlar YSA-GKO modelinin enerji tüketimi tahmininde kullanılabileceğini
göstermiştir.

Anahtar Kelimeler

Gri Kurt Optimizasyon Algoritması; Yapay Arı Kolonisi Algoritması; Geri Yayılımlı Algoritma; Enerji Tüketimi/Talebi; Yapay Sinir Ağları; Türkiye

Kaynakça

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