In this study, the overall energy status of Turkey in the early stage of the COVID-19 pandemic was analyzed. The situation in the energy market and electricity demand in the pandemic period as global issues were investigated in Turkey as a developing country. In addition to this general overview using limited data for the early period of the pandemic, energy demand and energy generation values were modeled utilizing machine learning approaches. Daily energy demand values were modeled and forecasted by utilizing Nonlinear Autoregression Neural Network (NARNN), Auto-Regressive Integrated Moving Average (ARIMA), and Long-Short Term Memory (LSTM) techniques. According to the results of the first stage of the modeling process, the LSTM approach was found as the most accurate model. In the second step of the modeling and forecasting analysis, monthly electricity generation values from natural gas and coal were predicted. In the energy generation forecasting analysis for April-December 2020 period, contraction in energy generation by natural gas and coal were obtained as 6.27% and 7.19%, respectively in comparison to 2019. Finally, the energy market during and after the pandemic was evaluated and the strategies to be implemented in the post-pandemic process were discussed.

Wind energy has an important place in renewable energy sources. Biggest challenges in wind energy production are the variability of the wind and difficulty of estimation of true wind speed. In this study, 25,777 records have been taken from wind measurements carried out at Mehmet Akif Ersoy University campus. Records include meteorological data such as wind speed at different heights/altitudes, wind direction, temperature, pressure and humidity. In order to estimate the wind speed that may occur at 61 m altitude, multilayer perceptron and radial basis function methods have been used. During the application phase, 100 artificial neural networks were trained and performance evaluations of these networks were done. The obtained results show that the wind speed at 61 m can be estimated with 99% accuracy using artificial neural network when other meteorological data are taken as input.

Bu çalışmada günümüzde giderek değerlenen popüler halen sanal para uygulamalarının temelini oluşturan blokzinciri teknolojisi ele alınmıştır. Blokzinciri teknolojisi güvenilir bir merkez kullanımı zorunluluğunu gerektirmeyen dağıtık bir kayıt yönetim sistemi olarak tanımlanabilir. Çalışmamızda geleneksel alışveriş yöntemi ile blokzinciri yapısı arasındaki temel farklılıklar ve blokzinciri kavramını meydana getiren teknolojiler incelenmiştir. Ardından blokzinciri yapısını oluşturan blokların üretilmesi ve transfer işlemlerinin nasıl gerçekleştirildiği açıklanmıştır. Çalışmanın son bölümü ise yakın gelecekte kullanılması planlanan uygulama alanları hakkında bilgiler ve yazılım çözümlerine ayrılmıştır.

In this paper, we present a review of the developments in the Large Language Model (LLM) known as ChatGPT (Generative Pre-trained Transformer), which has been the subject of many discussions, concerns, and even conspiracy theories as a result of today's significant advances in Artificial Intelligence (AI), and the benefits or concerns they can cause. Today, technology giants like Google, Microsoft, Apple, and numerous other businesses and organizations are constantly implementing artificial intelligence for specific purposes. Various artificial intelligences are customized for specific purposes and serve to provide benefits in those areas after being continuously trained through several different trainings. The subject of this study, ChatGPT language model, which is being developed by OpenAI, has the potential to significantly change the way we interact with technology. The most important capability of ChatGPT language model is its ability to understand texts, images and generate new texts with high accuracy, almost human-like, using the massive amount of data it processes during training. As a result, it provides revolutionary opportunities in the fields of Natural Language Processing (NLP) and Natural Language Understanding (NLU). Capabilities of ChatGPT, range from law to medicine, mathematics to finance, academic article writing to language translation, and security vulnerability detection.