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Toplam kayıt 4, listelenen: 1-4
Evapotranspiration prediction using adaptive neuro-fuzzy inference system and Penman FAO 56 equation for St. Johns, FL, USA
(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
(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 ...
Estimation of wind energy power using different artificial intelligence techniques and empirical equations
(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 ...
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 ...