Browsing by Author "Beyca, Ömer Faruk"
Now showing items 1-3 of 3
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Deep-learning-based short-term electricity load forecasting: A real case application
Yazıcı, İbrahim; Beyca, Ömer Faruk; Delen, Dursun. (Elsevier, 2022)The rising popularity of deep learning can largely be attributed to the big data phenomenon, the surge in the development of new and novel deep neural network architectures, and the advent of powerful computational ... -
Forecasting intermittent demand using the cox process
Kaya, Gamze Ogcu; Demirel, Ömer Faruk; Beyca, Ömer Faruk. (Old City Publishing, 2018)If a demand has infrequent demand occurrences and irregular demand sizes, then it is intermittent demand. Generally, intermittent demand appears at random, with many time periods having no demand. Owing to peculiar ... -
Using machine learning tools for forecasting natural gas consumption in the province of Istanbul
Beyca, Ömer Faruk; Ervural, Beyzanur Çayır; Tatoğlu, Ekrem; Özuyar, Pınar Gökçin; Zaim, Selim. (Elsevier, 2019)Commensurate with unprecedented increases in energy demand, awell-constructed forecastingmodel is vital to managing energy policies effectively by providing energy diversity and energy requirements that adapt to the dynamic ...