Abstract：With the development of information technology in the power network, information technology has gradually penetrated into all aspects of power production. The power system to produce a lot of log information in the operation process, some of which may contain data associated with the running state of the system information, how to log information on mass analysis, the potential value of deep mining information, so as to fully grasp the state of the system, found the problems in a timely manner is very important. In this paper, the method of improving the quality of large data and analysis methods are introduced, and the early warning model is studied, which has a certain reference value for the research of power system early warning technology under the background of big data.
胡聪, 刘翠玲, 吴尚. 基于大数据日志的预警技术分析[J]. 电气技术, 2017, 18(6): 95-98.
Hu Cong, Liu Cuiling, Wu Shang. Analysis of Early Warning Technology based on Large Data Log. Electrical Engineering, 2017, 18(6): 95-98.
2017, Vol. 18 
