Influencing factors and future trends of natural gas demand in the eastern, central and western areas of China based on the grey model

Analysis of Driving Factors of Natural Gas Consumption in China: Based on Regional Integration and LMDI Method

“…Afterwards, a fractional GM (1, N) model was established to predict the demand of the Eastern, the Central and the Western regions of China for natural gas usage. According to the research results, it can be concluded that economic growth, substitution effect, and energy intensity all play a positive roles in promoting the increase of natural gas consumption [5].…”

What is the short-term outlook for the EU’s natural gas demand? Individual differences and general trends based on monthly forecasts

“…There are many studies on natural gas consumption forecasting, and scholars have carried out multi-perspective and multi-dimensional forecasting studies for different regions. In the existing literature, the study area of natural gas consumption forecasting is mainly focused on China (Mu et al 2018;Li et al 2020;Wang and Li 2020;Zheng et al 2021;Duan et al 2021); there are also many studies on Turkey (Karadede et al 2017;Özmen et al 2018;Oğuzhan Ahmet Arık 2020;Yukseltan et al 2021), while relatively few studies on European countries. This paper sorts out the literature on the forecasting of natural gas consumption for European countries in the last decade, as shown in Table 1.…”

Predicting monthly natural gas production in China using a novel grey seasonal model with particle swarm optimization

“…In this paper we select a grey prediction model for forecasting the production of natural gas in China. This is because such models are designed to reduce the randomness of input data, and mine the potential 'law of data' through the action of a grey generation or sequence operator, to predict the changing trend of a time series when the sample data set is small [10]. Such a model has the benefit that it has been widely used in energy forecasting.…”