In this article, a systematic literature review of 419 articles on energy demand modeling,
published between 2015 and 2020, is presented. This provides researchers with an …

Dry-low emission (DLE) is one of the cleanest combustion types used in a gas turbine. DLE
gas turbines have become popular due to their ability to reduce emissions by operating in …

The foundation of natural gas intelligent scheduling is the accurate prediction of natural gas
consumption (NGC). However, its volatility, brings difficulties and challenges in accurately …

An effective short-term natural gas forecasting method contributes to social contributions and
allows industrial chain elements to function effectively and minimize economic losses. We …

Continuous innovation is essential in the urban gas industry to achieve the stability of
energy supply and sustainability. The continuous increase in the global demand for energy …

In the energy structure, natural gas is an important clean energy, and its consumption
forecast is of great significance for energy policy formulation, pipeline network planning …

In order to improve the forecasting effect of the gray prediction model, this paper combines
the fuzzy theory to construct the gray prediction model and explores its forecasting accuracy …

The objective of this research paper is to apply a mathematical model to estimate and
predict the economic growth of the Caspian countries in the period from 1995 to 2022. We …

The paper applies machine learning methods to make projections of natural gas
consumption volumes in China. It is critical for Russia as a major supplier of natural gas to …

Research studies published over the past decade provide insight to the methods and focus
of long-terms natural gas predictions recently proposed and adopted. A search-engine …