基于大数据云平台的电力能源大数据采集与应用研究

随着智能电网建设的不断推进，电力系统中运行的采集终端数量大幅激增。面对采集到的海量用电数据，如何快速挖掘出有价值的信息，指导企业发展并服务社会民生，显得尤为迫切。文章介绍了利用分布式架构的用电信息采集系统采集用电数据，建立大数据云平台，通过BP神经网络算法等大数据分析方法，提高线损治理成效，实现负荷的准确预测，并在光伏、车辆网等新的领域对电力能源大数据应用的研究进行了展望，对未来电力能源大数据的深化应用有重要的指导意义。

Acquisition and application of big power data based on big data cloud platform

With the continuous advancement of smart grid construction, the numbers of the operating acquisition terminals in the power system are dramatically increasing. Faced of massive amounts of acquisition electricity data, it is particularly urgent how to excavate valuable information quickly to guide the development of enterprises and serve the people. This paper introduces the use of electric information collection system of distributed architecture to collect electricity data, establish big data cloud platform. The effect of line loss management, the accurate prediction of air quality and load for the future are markedly elevated, utilizing large data analysis methods such as BP neural network algorithm. Moreover in some new fields, such as photovoltaic, vehicle network, the research on the application of big power data is prospected.. The research is expected to have important guiding significance for the further application of large power data in the future.