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Prediction of total energy consumption in China by the fuzzy grey Markov chain based on quadratic fitting

机译:基于二次配件的模糊灰色马尔可夫链预测中国的总能源消耗

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Energy consumption makes a great contribution to the economic condition of a country. Meanwhile, total energy consumption reflects on the economic condition of a country. Therefore, it is pivotal to make a prediction on the total energy consumption of China. Due to features of the data, we provided a model, called fuzzy grey Markov chain model based on quadratic fitting, to predict the total energy consumption of China. The model avoided the shortcomings of the traditional grey Markov predicting model like weak anti-jamming ability and the existence of a grey bias. It proves that the forecasting precision of a fuzzy grey Markov chain model based on quadratic fitting is higher than other models according to the comparison. That means the trend and fluctuation of the data could be better predicted, leading to a result with more instructive significance.
机译:能源消耗对国家的经济状况作出了巨大贡献。 同时,总能源消耗反映了一个国家的经济状况。 因此,它是对中国总能耗预测的重要性。 由于数据的特征,我们提供了一种型号,称为基于二次配件的模糊灰色马尔可夫链模型,以预测中国的总能耗。 该模型避免了传统灰色马尔可夫预测模型的缺点,如弱抗干扰能力和灰色偏差的存在。 它证明,基于二次配件的模糊灰色马尔可夫链模型的预测精度高于根据比较的其他模型。 这意味着可以更好地预测数据的趋势和波动,导致具有更强烈意义的结果。

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