Çankaya GCRIS Standart veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.
 

Yıldırım, Miray Hanım

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Arş. Gör.
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maslan@cankaya.edu.tr
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Endüstri Mühendisliği
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Former Staff
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2

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1

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2012 - 20142
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    Citation - Scopus: 1
    Survey and evaluation on modelling of next-day electricity prices
    (Springer New York LLC, 2014) Yıldırım, M.H.; Yıldırım, Miray Hanım; Bayrak, Ö.T.; Weber, G.-W.; 56416; Endüstri Mühendisliği
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    Citation - WoS: 9
    Electricity Price Modelling for Turkey
    (Springer-verlag Berlin, 2012) Yildirim, Miray Hanim; Yıldırım, Miray Hanım; Ozmen, Ayse; Bayrak, Ozlem Turker; Weber, Gerhard Wilhelm; 56416; Endüstri Mühendisliği
    This paper presents customized models to predict next-day's electricity price in short-term periods for Turkey's electricity market. Turkey's electricity market is evolving from a centralized approach to a competitive market. Fluctuations in the electricity consumption show that there are three periods; day, peak, and night. The approach proposed here is based on robust and continuous optimization techniques, which ensures achieving the optimum electricity price to minimize error in periodic price prediction. Commonly, next-day's electricity prices are forecasted by using time series models, specifically dynamic regression model. Therefore electricity price prediction performance was compared with dynamic regression. Numerical results show that CMARS and RCMARS predicts the prices with 30% less error compared to dynamic regression.