English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Enerji, gelismekte olan ve endustrilesen ulkeler icin ekonomik kalkin- manin surdurulebilmesi acisindan cok onemli bir faktordur. Elektrik ener- jisi de endustrilesme ve yasam standardinin yukseltilmesi icin en onemli enerji formlarindan biridir. Enerji bakimindan disa bagimli bir ulke olan Turkiye’de elektrik tuketiminin modellenmesi ve tahmin edilmesi ayri bir oneme sahiptir. Bu calismada destek vektor regresyon yontemiyle Turki- ye’nin 1975-2014 yillari arasi elektrik tuketimi, nufusu, ithalat, ihracat ve GSYH verileri kullanilarak bir tahmin uygulamasi yapilmistir. DVR para- metrelerinin seciminde genetik algoritma yardimiyla yontem performansi onemli olcude arttirilmistir.

FORECASTING OF TURKEY’S ELECTRICITY CONSUMPTION USING SUPPORT VECTOR REGRESSION TRAINED WITH GENETIC ALGORITHM