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Toplam kayıt 19, listelenen: 1-10
Formulation based on artificial neural network of thermodynamic properties of ozone friendly refrigerant/absorbent couples
(Pergamon-Elsevier Science Ltd, 2005)
This paper presents a new approach based on artificial neural networks (ANNs) to determine the properties of liquid and two phase boiling and condensing of two alternative refrigerant/absorbent couples (methanol/LiBr and ...
Estimation of Net Energy Consumption in Turkey Using Different Indicators
(Taylor & Francis Inc, 2009)
The main subject in this study is to obtain equations to predict net energy consumption of Turkey using energy sources and economic indicators by artificial neural network approach in order to determine the future level ...
Forecasting based on neural network approach of solar potential in Turkey
(Pergamon-Elsevier Science Ltd, 2005)
As Turkey lies near the sunny belt between 36 and 42 degrees N latitudes, most of the locations in Turkey receive abundant solar energy. Average annual temperature is 18-20 degrees C on the south coast, falls down to 14-16 ...
Forecasting net energy consumption using artificial neural network
(Taylor & Francis Inc, 2006)
The main goal of this study is to develop the equations for forecasting net energy consumption (NEC) using the artificial neural network (ANN) technique in order to determine the future level of the energy consumption in ...
Solar potential in Turkey
(Elsevier Sci Ltd, 2005)
Most of the locations in Turkey receive abundant solar-energy, because Turkey lies in a sunny belt between 36degrees and 42 degreesN latitudes. Average annual temperature is 18 to 20 degreesC on the south coast, falls to ...
Predictions of temperature distributions on layered metal plates using artificial neural networks
(Pergamon-Elsevier Science Ltd, 2006)
The temperature distribution influences the amount of energy needed to heat a body. The benefits of using multi-layered metal plates (NIMP) are due to the requirement of a regular temperature distribution on the opposite ...
Prediction of net energy consumption based on economic indicators (GNP and GDP) in Turkey
(Elsevier Sci Ltd, 2007)
The most important theme in this study is to obtain equations based on economic indicators (gross national product - GNP and gross domestic product - GDP) and population increase to predict the net energy consumption of ...
Sustainable personnel scheduling supported by an artificial neural network model in a natural gas combined cycle power plant
(WILEY, 2020)
Despite the impact of personnel scheduling on the sustainability of production processes, it is a rarely studied problem in the electricity generation sector, whose main purpose is sustainable energy generation. From this ...
Performance analysis of ejector absorption heat pump using ozone safe fluid couple through artificial neural networks
(Pergamon-Elsevier Science Ltd, 2004)
Thermodynamic analysis of absorption thermal systems is too complex because the analytic functions calculating the thermodynamic properties of fluid couples involve the solution of complex differential equations and ...
Estimation of solar potential in Turkey by artificial neural networks using meteorological and geographical data
(Pergamon-Elsevier Science Ltd, 2004)
Turkey is located at the Mediterranean at 36degrees and 42degrees N latitudes and has a typical Mediterranean climate. The solar energy potential is very high in Turkey. The yearly average solar radiation is 3.6 kW h/m(2) ...