The objectives of the study are twofold. First, we aim to examine the most influential socio-economic indicators to explain energy consumption in Republic of Serbia. The second objective is to develop models that are able to predict the future energy consumption in the Republic of Serbia. This could be the first important step towards proper energy management in the country. Several potential socio-economic indicators are selected to be the independent variables. Regression analysis is conducted to select the most relevant independent variables as well as building the multiple linear regression (MLR) models. In addition, an artificial neural networks (ANN) model is developed as a comparison. Finally, the energy demand is projected to the ye...
ARCAKLIOGLU, Erol/0000-0001-8073-5207;WOS: 000250320800019The most important theme in this study is ...
Abstract: Energy consumption has been increasing steadily due to globalization and industrialization...
The paper illustrates an artificial neural network (ANN) approach based on supervised neural network...
The objectives of the study are twofold. First, we aim to examine the most influential socio-economi...
The world’s highest energy consumer (HC) countries currently constitute around 62% of the world ener...
In this paper artificial neural networks (ANN) are addressed in order the Greek long-term energy con...
The main goal of this study is to develop the equations for forecasting net energy consumption (NEC)...
Energy as a production process input has an effective role on economic indicators such as gross dome...
The article describes the future projections of electricity demand in Turkey by using multiple linea...
Energy besides Other factors production is considered the main factor in the growth and economic dev...
Abstract: This work proposes the use of Artificial Neural Network (ANN) as a new approach to determi...
Predicting energy consumption is very important for improving resource planning and for more efficie...
In this century, with increasing society's population and Gross Domestic Product (GDP) trend, energy...
The main goal of this study is to develop the equations for forecasting net energy consumption (NEC)...
The main goal of this study is to develop the equations for forecasting net energy consumption (NEC)...
ARCAKLIOGLU, Erol/0000-0001-8073-5207;WOS: 000250320800019The most important theme in this study is ...
Abstract: Energy consumption has been increasing steadily due to globalization and industrialization...
The paper illustrates an artificial neural network (ANN) approach based on supervised neural network...
The objectives of the study are twofold. First, we aim to examine the most influential socio-economi...
The world’s highest energy consumer (HC) countries currently constitute around 62% of the world ener...
In this paper artificial neural networks (ANN) are addressed in order the Greek long-term energy con...
The main goal of this study is to develop the equations for forecasting net energy consumption (NEC)...
Energy as a production process input has an effective role on economic indicators such as gross dome...
The article describes the future projections of electricity demand in Turkey by using multiple linea...
Energy besides Other factors production is considered the main factor in the growth and economic dev...
Abstract: This work proposes the use of Artificial Neural Network (ANN) as a new approach to determi...
Predicting energy consumption is very important for improving resource planning and for more efficie...
In this century, with increasing society's population and Gross Domestic Product (GDP) trend, energy...
The main goal of this study is to develop the equations for forecasting net energy consumption (NEC)...
The main goal of this study is to develop the equations for forecasting net energy consumption (NEC)...
ARCAKLIOGLU, Erol/0000-0001-8073-5207;WOS: 000250320800019The most important theme in this study is ...
Abstract: Energy consumption has been increasing steadily due to globalization and industrialization...
The paper illustrates an artificial neural network (ANN) approach based on supervised neural network...