摘要
为了实现智慧用电管理系统中电力客户的优化管理,需要对电力客户进行立体画像构造。提出了基于多维类别特征识别和角点标识的智慧用电管理系统中电力客户立体画像构建方法。用户画像信息跟踪采集模型,采用空间特征域分类方法进行用户画像信息分类处理。利用多尺度逐层分析方法进行模糊电力客户画像的精准定位,提取客户立体画像的用电类别特征量,采用特征域分类和分块匹配方法进行立体画像的误差修复,实现用户画像的特征快速准确定位。对提取的电力客户立体画像用电需求特征量采用支持向量机学习算法进行自适应分类,实现对智慧用电管理系统中电力客户立体画像多维构建。结果表明,采用该方法构建电力客户立体画像的特征细分能力较好,客户立体画像信息准确度高。
In order to realize the optimal management of power customers in the smart power management system,it is necessary to construct a stereoscopic image of the power customer,and propose a power customer stereoscopic image construction method based on multi-dimensional category feature recognition and corner point identification.The user portrait information tracking acquisition model uses the spatial feature domain classification method to classify the user image information,and uses the multi-scale layer-bylayer analysis method to accurately locate the fuzzy power customer image,and extracts the power category feature quantity of the customer stereo image,using the feature domain.The classification and block matching method performs error repair of the stereo image to realize fast and accurate positioning of the features of the user image.The support demand vector machine learning algorithm is used to adaptively classify the extracted power demand feature of the power customer stereo image,and realize the multi-dimensional construction of the power customer stereo image in the smart power management system.The results show that the method of constructing the power customer stereo image has better feature segmentation ability and the customer stereo image information has high accuracy.
作者
陈明
严童
宣庐峰
徐伟
CHEN Ming;YAN Tong;XUAN Lu-feng;XU Wei(State Grid Shanghai Shinan Electric Power Supply Company,Shanghai 201199)
出处
《计算技术与自动化》
2020年第4期175-179,共5页
Computing Technology and Automation
关键词
智慧用电管理系统
电力客户
立体画像
空间特征域
smart power management system
power customer
stereoscopic image
spatial feature domain
