This study mathematically formulates the effects of socio-economic indicators (gross
domestic production, population, stock index, export, and import) on Iran's electric energy …

The main objective of the present study was to apply the ANN (artificial neural network)
model with the TLBO (teaching–learning-based optimization) algorithm to estimate energy …

In this study, three different mathematical models were proposed to estimate transportation
energy demand of Turkey using the artificial bee colony algorithm. In the development of the …

Proper estimation of electricity consumption is one of the influential factors for sustainability
and cleaner production in both developed and develo** countries. Many studies have …

Knowing the energy demand guides the future investments of countries. Nuclear power
plant (NPP) is an important resource to guide sustainable energy policies in sectoral …

In this study, an integrated multi-layer perceptron neural network and Bees Algorithm is
presented for analyzing world CO2 emissions. For this purpose, the following steps are …

Growing energy demand of the world, made the major oil and gas exporting countries to
have critical role in the energy supply. The geostrategic situation of Iran and its access to the …

The road transportation sector in Saudi Arabia has been observing a surging growth of
demand trends for the last couple of decades. The main objective of this article is to extract …

Energy is very important nowadays and it has become essential for human life. More amount
of energy is necessary for a community with increased living standards and population. This …

An expansion plan of a real-world power system will be more optimal when it combines the
Electricity Demand Forecasting (EDF) and Generation Expansion Planning (GEP) problem …