面向智慧城市的电力数据挖掘多场景应用

Multi-scene Application of Power Data Mining for Smart Cities

当今社会,科学技术不断发展,大数据信息技术的优势得到充分发挥,且大数据信息技术已被广泛应用于社会各行业领域,传统模式下的数据查询与统计功能,已难以满足大量的计算机数据需求。但随着数据挖掘技术的开发与应用,使其不再受时间和空间所限。介绍了智慧城市建设的主要特点,总结了我国智慧城市实施中对电力大数据挖掘的一个整体要求,包括用电行为、负荷要求以及区域成熟性评估等方面,并根据这几点论证了电力大数据挖掘在智慧城市建设中的支撑性作用。通过案例分析表明,电力大数据挖掘技术可以被广泛运用到城市规划当中,为社会主义经济建设奠定坚实基础。

With the continuous development of the scientific information technology,the advantages of big data have been brought into full play,and big data information technology has been widely used in various fields of society.The data query and statistics function in the traditional mode has been difficult to meet the needs of a large number of computer data.But with the development and application of data mining technology,it is no longer affected by time and space limitations.The main characteristics and requirements of smart city construction are summarized,and the overall requirements for power big data mining in the implementation of smart city in China are summarized,including the evaluation of power consumption behavior,load demand and regional maturity.Based on these points,this paper demonstrates a supporting function of power big data mining in smart city construction.Through the analysis of these cases,it is verified that the power big data mining technology can be applied to urban planning and other fields to lay a solid foundation for the socialist economic construction.