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电力营销市场中蕴含着海量的,多样的电量与非电量数据,即大数据。各行业的发展受到多种因素的影响,如何充分挖掘各种数据之间的关系,是准确预测行业发展趋势的关键所在。本文首先介绍相关性分析方法的基本概念及计算方法;然后分析某地区14个主导行业的用电量发展趋势,并对它们进行分类总结;最后采用相关性分析方法分析内外部因素对大工业电量的影响。实例证明,该方法能够充分挖掘数据间的关系,有助于确定电力营销工作重点。
Power marketing market contains massive, diverse power and non-power data, that is, big data. The development of various industries is affected by many factors. How to fully tap the relationships among various data is the key to accurately forecast the development trend of the industry. This article first introduces the basic concepts and calculation methods of the correlation analysis method; then analyzes the development trend of the electricity consumption of the 14 leading industries in a certain area and summarizes them; Finally, using the correlation analysis method to analyze the influence of the internal and external factors on the large industrial electricity consumption Impact. The example shows that this method can fully mine the relationship between data and help to determine the focus of power marketing.