基于云计算技术的用户用电智能分析技术研究  

Power use intelligent analysis technology based on the technology of cloud computing research

作　　者：庄绪强[1] 

机构地区：[1]陕西青年职业学院,陕西西安710068

出　　处：《自动化与仪器仪表》2016年第2期187-189,共3页Automation & Instrumentation

摘　　要：首先分析、整合了用户电量数据,然后对用户用电框架进行分析整理,并基于云计算的聚类算法对用户用电数据进行智能研究,得出了用户用电分类的特征选择以及权重计算。然后基于分类特征进行了非介入式用电负荷分解与识别研究,从分解与识别原理着手设计了模型,从模型出发分析了模拟结果,证明基于云计算的聚类算法的用户用电行为分析模型是行之有效的。This article first analysis,the integration of the user data,then analyze the power framework,and the clustering algorithm based on cloud computing intelligence research data of the power,it is concluded that the user electricity classification feature selection and weight calculation. Then based on the classification of features on the involvement of electricity load decomposition and identify research,from the decomposition and identification principle to design the model,starting from the model simulation results are analyzed,prove the clustering algorithm based on cloud computing power behavior analysis model is effective.

关 键 词：用户用电行为 云计算 聚类算法 用电负荷分解 

分 类 号：TM73[电气工程—电力系统及自动化]