Ara
Toplam kayıt 12, listelenen: 1-10
3-D real dam reservoir model for seasonal thermal density flow
(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 ...
Estimation of wind energy power using different artificial intelligence techniques and empirical equations
(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 ...
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 ...
Daily reference evapotranspiration prediction based on climatic conditions applying different data mining techniques and empirical equations
(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 ...
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 ...
Estimation of daily evapotranspiration in Kosice City (Slovakia) using several soft computing techniques
(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 ...
Evaluation of long-term air temperature, precipitation and flow rate parameters trend change using different approaches: a case study of Amik plain, Hatay
(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 ...
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 ...
Prediction of CO2 emission in transportation sector by computational intelligence techniques
(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 ...