İSTE Yazarı "Üneş, Fatih" Araştırma Çıktıları | Scopus İçin Listeleme
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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 ... -
A comparative study on daily evapotranspiration estimation by using various artificial intelligence techniques and traditional regression calculations
Güzel, Hasan; Üneş, Fatih; Erginer, Merve; Kaya, Yunus Ziya; Taşar, Bestami; Erginer, İbrahim; Demirci, Mustafa (American Institute of Mathematical Sciences, 2023)Evapotranspiration is an important parameter to be considered in hydrology. In the design of water structures, accurate estimation of the amount of evapotranspiration allows for safer designs. Thus, maximum efficiency can ... -
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 ... -
Development of a Three-Dimensional CFD Model and OpenCV Code by Comparing with Experimental Data for Spillway Model Studies
Varçin, Hakan; Üneş, Fatih; Gemici, Ercan; Zelenakova, Martina (MDPI, 2023)This article presents a three-dimensional CFD model and OpenCV code by comparing the flow over the spillway with the experimental data for use in spillway studies. A 1/200-scale experimental model of a real dam spillway ... -
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 groundwater level using artificial neural networks: A case study of Hatay-Turkey
Üneş, Fatih; Demirci, Mustafa; İspir, Eyüp; Kaya, Yunus Ziya; Mamak, Mustafa; Taşar, Bestami (Vilnius Gediminas Technical University Publishing House "Technika", 2017)Groundwater, which is a strategic resource in Turkey, is used for drinking-use, agricultural irrigation and industrial purposes. Population increase and total water consumption are constantly increasing. In order to meet ... -
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 ... -
Evapotranspiration estimation using support vector machines and Hargreaves-Samani equation for St. Johns, FL, USA
Üneş, Fatih; Kaya, Yunus Ziya; Mamak, Mustafa; Demirci, Mustafa (Vilnius Gediminas Technical University Publishing House "Technika", 2017)Information about Evapotranspiration (ET) calculations are not clear enough even it is an important part of hydrological cycle. There are many parameters which effect ET directly or indirectly such as Solar Radiation (SR) ... -
Evapotranspiration prediction using adaptive neuro-fuzzy inference system and Penman FAO 56 equation for St. Johns, FL, USA
Mamak, Mustafa; Üneş, Fatih; Kaya, Yunus Ziya; Demirci, Mustafa (Vilnius Gediminas Technical University Publishing House "Technika", 2017)Evapotranspiration (ET) estimation is a primary problem for irrigation engineers and hydraulic designers because it is an important part of hydrologic cycle. Even it is non-negligible in hydraulic design calculations, it ... -
Evapotranspiration prediction using M5T method and ritchie equation for St. Johns, FL, USA
Kaya, Yunus Ziya; Mamak, Mustafa; Üneş, Fatih; Demirci, Mustafa (Vilnius Gediminas Technical University Publishing House "Technika", 2017)Evapotranspiration (ET) estimation takes an important role in hydraulic designs and agricultural yield. Even it is non-negligible for hydraulic designers and irrigation engineers it is not clear enough to estimate or ... -
Experimental and Numerical Study on Flow Control Using 3-Array Submerged Vane in Laboratory Channel Bend
Taşar, Bestami; Üneş, Fatih; Gemici, Ercan; Zelenakova, Martina (MDPI, 2023)Regulation structures such as submerged vane are needed to reduce and eliminate environmental damage due to increased flooding in rivers. In particular, scours on the outer bank due to increased flow velocities cause the ... -
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 ... -
Groundwater level prediction using Support Vektor Machines and autoregressive (AR) modelss
Üneş, Fatih; Demirci, Mustafa; Kaya, Yunus Ziya; İspir, Eyüp; Mamak, Mustafa (Vilnius Gediminas Technical University Publishing House "Technika", 2017)Water resources managers can benefit from accurate prediction of the availability of groundwater. Ground water is a major source of water in Turkey for irrigation, water supply and industrial uses. The ground water level ... -
Laboratory and numerical investigation of the 2-array submerged vanes in meandering open channel
Taşar, Bestami; Üneş, Fatih; Gemici, Ercan (American Institute of Mathematical Sciences, 2023)In the case of flooding in rivers, river regulation structures are important since scours occur on the outer meander due to high flow velocities. In this study, 2-array submerged vane structures were investigated which is ... -
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), ...