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Estimation of groundwater level using artificial neural networks: A case study of Hatay-Turkey
(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 ...
Groundwater level prediction using Support Vektor Machines and autoregressive (AR) modelss
(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 ...
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 ...
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 ...