现代电子技术2016，Vol.39Issue(6)：153-156,4.DOI:10.16652/j.issn.1004-373x.2016.06.041
基于大数据分析的电能损耗预测模型的仿真分析
Simulation analysis of electric energy loss prediction model based on big data analysis
摘要
Abstract
The traditional prediction method in the process of electric energy loss prediction is hard to obtain the high⁃preci⁃sion prediction results due to the very complicated nonlinear and strong correlation between factors influencing on the electric energy loss. An electric energy loss prediction model based on big data analysis is put forward. The unit model of the electric energy loss prediction was established,and the building process of generator model,electric transducer model and electric transmitter model was analyzed. The gray synthesis correlation degree was introduced to analyze the big data. The electric energy loss situa⁃tion of the whole region was obtained by sequence accumulation of each sub⁃region,and then a differential treatment was con⁃ducted. The construction of the whole electric energy loss prediction model was realized by GM(1,1)transformation. The simu⁃lation results show that the proposed model has high prediction accuracy,and can better avoid the interference from nonlinear factor. The model can provide a reliable basis for the power enterprises to make the reasonable electric energy loss plan.关键词
大数据分析/电能损耗预测/灰度关联/仿真实验Key words
big data analysis/electric energy loss prediction/gray-scale correlation/simulation experiment分类
信息技术与安全科学引用本文复制引用
张明明..基于大数据分析的电能损耗预测模型的仿真分析[J].现代电子技术,2016,39(6):153-156,4.基金项目
网级计量自动化系统功能升级改造项目 （）
