Makale Koleksiyonu by İSTE Author "Üneş, Fatih"
Now showing items 1-20 of 20
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3-D real dam reservoir model for seasonal thermal density flow
Üneş, Fatih; Varçin, Hakan (Gh. Asachi Technical University of Iasi, 2017)The efficient use of fresh water sources and proper modeling of the water quality can only be possible when flows in the dam reservoir are well defined. Therefore, in this study, a hydrodynamics model of an actual dam ... -
A comparative study of estimating solar radiation using machine learning approaches: DL, SMGRT, and ANFIS
Üstün, İsmail; Üneş, Fatih; Mert, İlker; Karakuş, Cuma (Taylor and Francis Ltd., 2022)Solar energy has a key role in producing clean and emissions-free power compare to conventional methods. However, sustainable development also requires a reliable and predictable energy source. It also needs methods to ... -
Daily reference evapotranspiration prediction based on climatic conditions applying different data mining techniques and empirical equations
Üneş, Fatih; Kaya, Yunus Ziya; Mamak, Mustafa (Springer Wien, 2020)Considering evapotranspiration takes a basic role in the hydrologic cycle, water resources management, and irrigation water requirements. Evapotranspiration estimation is not an easy case because of the number of direct ... -
Estimating dam reservoir level fluctuations using data-driven techniques
Üneş, Fatih; Demirci, Mustafa; Taşar, Bestami; Kaya, Yunus Ziya; Varçin, Hakan (Hard, 2019)Estimating dam reservoir level is very important in terms of the operation of a dam, the safety of transport in the river, the design of hydraulic structures, and determining pollution, the salinity of the river flow ... -
Estimating the energy production of the wind turbine using artificial neural network
Mert, İlker; Karakuş, Cuma; Üneş, Fatih (Springer-Verlag London Ltd, 2016)Due to fluctuating weather conditions, estimating wind energy potential is still a significant problem. Artificial neural networks (ANNs) have been commonly used in short-term and just-in-time modeling of wind power ... -
Estimation of daily evapotranspiration in Kosice City (Slovakia) using several soft computing techniques
Kaya, Yunus Ziya; Zelenakova, Martina; Üneş, Fatih; Demirci, Mustafa; Hlavata, Helena; Mesaros, Peter (Springer, 2021)Accurate estimation of evapotranspiration is one of the main aspects of water management. In this study, the capabilities of soft computing techniques for estimating daily evapotranspiration in Košice (Slovakia) were ... -
Estimation of wind energy power using different artificial intelligence techniques and empirical equations
Mert, İlker; Üneş, Fatih; Karakuş, Cuma; Joksimovic, Darko (Taylor and Francis Inc., 2019)The understanding of the behavior of a wind turbine is difficult due to changes in weather conditions. To obtain the response of a wind turbine influenced by changes in both wind speed and its direction, using the ... -
Estimation of wind energy power using different artificial intelligence techniques and empirical equations
Mert, İlker; Üneş, Fatih; Karakuş, Cuma; Joksimovic, Darko (Taylor and Francis, 2021)The understanding of the behavior of a wind turbine is difficult due to changes in weather conditions. To obtain the response of a wind turbine influenced by changes in both wind speed and its direction, using the ... -
Evaluation of long-term air temperature, precipitation and flow rate parameters trend change using different approaches: a case study of Amik plain, Hatay
Üneş, Fatih; Kaya, Yunus Ziya (Springer, 2021)The investigation of the trend change of climatic parameters during a time scale is one of the most important issues of climatological research. Awareness of the trend of climatic variables is essential for different ... -
Flood Hydraulic Analyses: A Case Study of Amik Plain, Turkey
Üneş, Fatih; Kaya, Yunus Ziya; Varçin, Hakan; Demirci, Mustafa; Taşar, Bestami; Zelenakova, Martina (MDPI, 2020)In recent years, significant flood events have occurred in various parts of the world. The most important reasons for these events are global warming and consequent imbalances in climate and rainfall regimes. Many studies ... -
Keban Baraj Gölü Seviye Değişiminin ANFİS ve Destek Vektör Makineleri ile Tahmini
Arslan, Hatice; Üneş, Fatih; Demirci, Mustafa; Taşar, Bestami; Yılmaz, Ada (Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi (Online), 2020)Bir baraj haznesindeki su seviyesinin doğru tahmini, su kaynaklarının yönetiminioptimize etmek için önemlidir. Bu çalışmada, Adaptif Sinirsel Bulanık Çıkarımsistemi (ANFIS) ve Destek Vektör Makineleri (DVM) metotları ... -
Modeling of dam reservoir volume using generalized regression neural network, support vector machines and m5 decision tree models
Üneş, Fatih; Demirci, Mustafa; Taşar, Bestami; Kaya, Yunus Ziya; Varçin, Hakan (Corvinus University of Budapest, 2019)Dam reservoir capacity estimation is an important issue for operation, design and safety assessments of dam structures. In this study, the reservoir capacity of the Stony Brook dam in the USA was estimated by Generalized ... -
Modeling of groundwater level using artificial intelligence techniques: A case study of Reyhanli region in Turkey
Demirci, Mustafa; Üneş, Fatih; Körlü, S. (Corvinus University of Budapest, 2019)Determination of the change in groundwater level in terms of planning and managing resources is important. In this study, the groundwater level of Reyhanli region in Turkey was predicted using multi-linear regression (MLR), ... -
Modeling of highways energy consumption with artificial intelligence and regression methods
Cansız, Ömer Faruk; Üneş, Fatih; Erginer, İbrahim; Taşar, Bestami (Springer, 2021)While developing technology and industrialization factors increase production, they also lead to an increase in energy consumption at the same time. The transportation sector, which is a branch of industrialization, has ... -
Nehirlerdeki Katı Madde Miktarının Bulanık SMGRT Yöntemi ile Tahmini
Dayan, Feyzullah; Demirci, Mustafa; Üneş, Fatih; Taşar, Bestami (Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 2021)Nehirlerdeki katı madde miktarının doğru tahmin edilmesi; kirliliğin belirlenmesi, akarsu taşımacılığı, barajömrünün tespiti vb. konularda oldukça önemlidir. Bu çalışmada, Çoklu Doğrusal Regresyon (ÇDR) BulanıkMantık- ... -
Numerical investigation of temporal variation of density flow and parameters
Üneş, Fatih; Ağıralioğlu, Necati (Isfahan University of Technology, 2017)Experimental investigations and observations indicate that water quality modeling is related to the formation of flows in the dam reservoirs. Correct estimation of dam reservoir flow, plunging point and plunging depth are ... -
Predicting monthly streamflow using artificial neural networks and wavelet neural networks models
Yılmaz, Muhammet; Tosunoğlu, Fatih; Kaplan, Nur Hüseyin; Üneş, Fatih; Hanay, Yusuf Sinan (Springer, 2022)Improving predicting methods for streamflow series is an important task for the water resource planning, management, and agriculture process. This study demonstrates the development and effectiveness of a new hybrid model ... -
Prediction of CO2 emission in transportation sector by computational intelligence techniques
Cansız, Ömer Faruk; Ünsalan, Kevser; Üneş, Fatih (Inderscience Publishers, 2022)Carbon footprint is considered the main cause of global warming. There are various studies on environmental sustainability carried out global scale. In this study, prediction models were developed for CO2 emissions in ... -
River Flow Estimation Using Artificial Intelligence and Fuzzy Techniques
Üneş, Fatih; Demirci, Mustafa; Zelenakova, Martina; Çalışıcı, Mustafa; Taşar, Bestami; Vranay, František; Kaya, Yunus Ziya (MDPI, 2020)Accurate determination of river flows and variations is used for the efficient use of water resources, the planning of construction of water structures, and preventing flood disasters. However, accurate flow prediction is ... -
Yapay sinir ağları yöntemi kullanılarak buharlaşma miktarı tahmini
Buharlaşma tahmini, özellikle kurak dönemlerde ve kurak alanlarda, sulama yönetiminde ve hidroliktasarımlarda önemli bir rol oynar. Bu çalışmada, Hargreaves-Samani, Ritchie ve Turc denklemleri gibiampirik (geleneksel) ...
