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主成分分析模型在天然气用量预测中的应用研究 被引量:1

Principal Component Analysis Model in the Application of the Suzhou City Gas Consumption Forecast Research
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摘要 随着国家发展政策改变以及天然气的普及使用,城市年需天然气用量成为分析预测的热点问题.首先,运用主成分分析模型理论,统计宿州市近几年天然气使用量的原始数据进行主成分处理.然后,通过线性方程的建立设计出相应的预测模型,检验模型的拟合精度得出合理的预测模型.最后,通过分析数据预测未来几年城市年需天然气用量,并对宿州市天然气资源的充分与合理利用提出相应的建议. The amount of natural gas used in the city becomes a hot issue in the analysis and prediction. The oiginal data of natural gas usage in Suzhou city in recent years is analyzed by principal component analysis model thery. The corresponding prediction model is established by the linear equation. The fitting accuracy of this model is ested. Finally,we put forward some suggestions on how to sufficiently and reasonably use gas resources in Suzhou.
出处 《阴山学刊(自然科学版)》 2016年第4期16-19,共4页 Yinshan Academic Journal(Natural Science Edition)
基金 高校创新训练项目(AH201410379077) 高校自然科学研究项目(KJ2016A770) 高校优秀青年人才支持计划重点项目(gxyqZD2016340)
关键词 天然气 主成分分析模型 变量 检验 Natural gas Principal component analysis model Variables Inspection
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