Forecasting natural gas is an important link to maintain the balance between supply and demand of the natural gas industry and plan energy strategy. From the three main dimensions of economy, population and development, this paper selects six influencing factors: GDP, per capita GDP, per capita disposable income of urban residents, the proportion of secondary industry added value in GDP, the number of urban permanent residents and urbanization rate to analyze the prospects of natural gas energy. After pre-processing to improve the added value of the data, a grey forecasting model, a polynomial regression model and a partial least square method were used for modelling, and the three models were coupled to construct a comprehensive forecasting model. The model results show that: 1. The combined forecasting model has outstanding advantages. Under the premise of considering multiple influencing factors, the advantages of the three models are complementary, and the fitting error is 2.42%. 2. The forecast results show that natural gas consumption in Jiangsu Province will exceed 50 billion cubic meters in 2028, and reach 58.748 billion cubic meters in 2031, which is 187% of 2021, with an annual growth rate of more than 2 billion cubic meters.
University ranking has a positive impact on making rational use of educational resources and promoting deep-seated development of higher education and colleges and universities. This paper establishes two models to rank universities in the Yangtze River Delta: Model A uses AHP to analyze 8 main evaluation indicators; model B adopts the entropy weight method with reference to the data of the evaluation authority. In the results of the models, the ranking of top 20 universities in the Yangtze River Delta region is basically same. Comparing the two models, model B refers to the rankings of authoritative institutions, has obvious advantages over model A in terms of solution scale and model complexity, so the calculation results of model B are finally adopted. The models can not only rank the comprehensive strength of colleges and universities, but also be used to optimize the college applications and make better choices for the healthy progress of higher education.
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