Energy planning models (EPMs) play an indispensable role in policy formulation and energy
sector development. The forecasting of energy demand and supply is at the heart of an EPM …

The number of publications in demand forecasting of the energy supply chain augmented
meaningfully due to the 2008 global financial crisis and its consequence on the global …

In develo** countries, national-level institutions are often limited by key transportation
energy efficiency indicators. A transportation model based on 40 artificial neural networks …

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 …

The power industry of China is an energy-intensive one. In recent years, the demand for
energy-saving oriented researches has been increased to provide recommendations to the …

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 …

Forecasting natural gas consumption is of great importance for the investments decisions
made by decision-makers, the industrial sector, energy resources management, and …

In this study, a novel artificial neural network (ANN)-Jaya algorithm hybrid artificial
intelligence model was developed to estimate Turkey's future energy use. The model …

Given the dominant position of coal in China's energy structure and in order to ensure a safe
and stable energy supply, it is essential to perform a scientific and effective prediction of …

Many studies are performed by researchers to estimate energy demand but the bees
algorithm (BA) technique has never been used for such a study. This paper presents …