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数据挖掘技术在电厂经济性分析系统中的应用

Application of data mining technology in the economic analysis system of the power plant
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摘要 随着互联网技术的迅速发展,各行业尤其是销售行业得到了快速的发展,同时也产生了海量的相关数据资源。作为销售行业中的一部分,传统的人工分析模式已经无法为电厂直供电、供热和电力营销提供必要的数据分析。需要利用大数据挖掘与分析技术,从海量的电力营销数据中发掘潜在的、有价值的信息,快速有效地分析数据与信息,从而将各个信息孤岛相互汇集成为决策辅助信息系统,更好地保证电厂生产的安全运行、销售利润和市场竞争力。 With the rapid development of Internet technology, the industry especially sales industry obtained rapid development, also produced a massive related data resources at the same time.As part of the sales industry, the traditional manual analysis model has been unable to provide the necessary data analysis for straight power and heat supply to power plants and electric power marketing.It needs to use the data mining and analysis technology to explore the potential and valuable information from the massive data of electric power marketing, and analyze the data and information quickly and effectively, in order to collect the each information isolated island into the assistant decision information system to ensure the safe operation, sales proift and market competitiveness of the power plant.
作者 李玥
出处 《无线互联科技》 2016年第13期138-139,共2页 Wireless Internet Technology
关键词 大数据 支持向量机 数据挖掘 销售模式 big data support vector machine data mining sales model
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