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Toplam kayıt 11, listelenen: 1-10
Estimating the energy production of the wind turbine using artificial neural network
(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 ...
River Flow Estimation Using Artificial Intelligence and Fuzzy Techniques
(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 ...
Flood Hydraulic Analyses: A Case Study of Amik Plain, Turkey
(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 ...
Estimating dam reservoir level fluctuations using data-driven techniques
(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 ...
Modeling of dam reservoir volume using generalized regression neural network, support vector machines and m5 decision tree models
(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 highways energy consumption with artificial intelligence and regression methods
(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 ...
A comparative study of estimating solar radiation using machine learning approaches: DL, SMGRT, and ANFIS
(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 ...
Predicting monthly streamflow using artificial neural networks and wavelet neural networks models
(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 ...
A comparative study on daily evapotranspiration estimation by using various artificial intelligence techniques and traditional regression calculations
(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 ...
Development of a Three-Dimensional CFD Model and OpenCV Code by Comparing with Experimental Data for Spillway Model Studies
(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 ...