Now showing items 1-3 of 3

  • Applying machine learning algorithms in sales prediction 

    Authors:Sekban, Judi
    Publisher and Date:(Kadir Has University, 2019)
    Makine öğrenimi bir çok endüstride üzerinde yoğun çalışmalar yapılan bir konu olmuştur, ve neyse ki şirketler kendi problemlerini çözebilecek çeşitli machine learning yaklaşımları hakkında günden güne daha fazla bilgi sahibi oluyorlar. Fakat, farklı makine öğreniminin modellerinden en iyi şekilde sonuç almak ve verimli sonuçlara ulaşabilmek için, modellerin uygulanış biçimlerini ve verinin doğasını iyi anlamak gerekir. Bu tez, belli bir tahmin görevi için, uygulanan ...

  • Hourly electricity demand forecasting using Fourier analysis with feedback 

    Whether it be long-term, like year-ahead, or short-term, such as hour-ahead or day-ahead, forecasting of electricity demand is crucial for the success of deregulated electricity markets. The stochastic nature of the demand for electricity, along with parameters such as temperature, humidity, and work habits, eventually causes deviations from expected demand. In this paper, we propose a feedback-based forecasting methodology in which the hourly prediction by a Fourier series expansion is updated ...

  • Room Acoustic Modelling of a Reverberation Chamber 

    This paper aims at comparing measured broadband reverberation time values in the reverberation chamber of Scientific and Technological Research Council of Turkey - National Metrology Institute (TUBITAK-UME) in Gebze Turkey with the simulated reverberation time values from the room acoustical modelling of the same reverberation chamber. The reverberation chamber in TUBITAK-UME has a volume of 263m3 total inner surface area of 262 m2 and 16 diffusers made of Plexiglas and hung randomly in the room. ...