基于灰色预测方法的煤炭价格预测  

Coal Price Forecast Based on Grey Prediction Method

作　　者：母丽华[1] 于齐 喻泽昕 邵劲超 Mu Lihua;Yu Qi;Yu Zexin;Shao Jinchao(Heilongjiang University of Science and Technology,Harbin 150027,China)

机构地区：[1]黑龙江科技大学,哈尔滨150027

出　　处：《煤矿机械》2020年第11期166-169,共4页Coal Mine Machinery

基　　金：哈尔滨市科技创新人才专项资金项目—优秀学科带头人项目(2016RAXXJ028)。

摘　　要：全国乃至全球的煤炭价格一直在波动,其中的影响因素有很多,比如一些突发事件引起的价格波动,使得煤炭价格在结构性和重要性方面发生变化。为了使煤炭价格预测模型所得结果更加准确,除了要考虑原煤产量、发电量、原煤进口量等因素以外,还需要考虑突发事件对于煤炭价格的影响。在综合考虑这些因素的基础上建立了煤炭价格的综合预测模型,为煤炭企业的生产和销售决策提供了借鉴。Coal price has been fluctuating all over the country and even around the world,among which there are many factors,such as the fluctuation of price caused by some emergencies,which make coal price change in respects of structure and importance. In order to make the results of coal price prediction model more accurate,in addition to considering the raw coal production,power generation,raw coal import amount and other factors,it is necessary to consider the influence of unexpected events on coal price. On the basis of comprehensive consideration of these factors, a integrated prediction model of coal price was established,which provides a reference for the production and sales decisions of coal enterprises.

关 键 词：灰色预测 煤炭价格 模型 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]