Forecast Research on the Proportion of Clean Energy Consumption in Total Energy Consumption Based on GM(1,1) Model

Abstract

Clean energy can not only alleviate environmental problems but also contribute to rapid and sustainable development. The gray system is based on the sequence operator to process the original data and mine the law of change. GM(1,1) is a specific method of mining data, by building a GM(1,1) model to accumulate and generate data, the randomness of the data can be weakened and its regularity can be revealed. Here we use the GM(1,1) model to dynamically predict the future consumption rate of clean energy. This research not only provides data support for China’s green development, but also provides suggestions for improvement based on actual conditions.