基于动态盒形图技术的电力异常数据清洗

电力负荷数据是指在一定时间间隔内记录的电能消耗量,它包含电力系统的重要信息。对电力系统分析、系统的可靠性、电力线损计算、电力系统规划起着至关重要的作用。但电力数据在传输过程中,由于各种随机故障因素,异常数据的出现是不可避免的,它包括损坏的数据和丢失的数据。本文介绍动态盒形图技术进行自动清洗损坏和丢失的数据。并在贵州某地区供电公司进行实施,结果证明了方案的有效性。

Electric load data refers to a certain time interval record electricity consumption, it contains important information of power system. For power system analysis, system reliability, power loss calculation, power system planning plays a vital role. The electric power data in the transmission process, due to various random failure factors, the abnormal data is inevitable, resulting in the load curve contains corrupted data and missing data. This paper introduces the dynamic automatic cleaning box for damage and loss of the data graph technology. In the implementation process, a man-machine conversation program is proposed to improve the performance of the program. Experiments on a regional power supply company in Guizhou have proved the effectiveness of the scheme.