摘要
在智能电网大数据中,非结构化数据占据比例最大,且增速是结构化数据的10~50倍,已成为智能电网大数据处理的关键技术。针对非结构化数据存在数量巨大、模式滞后问题,基于现实数据存在的诸多特征,提出来非结构化数据特征模型建模。文中重点论述了基于智能电网大数据的非结构化数据特征建模的关键技术,包括原始数据以及特征数据的存储、查询以及数据可视化、特征空间的选取等。
In the smart grid data,the unstructured data occupies the largest proportion,and its growth rate is 10 to 50 times of the structured data and the processing of the data has become the key technology in the processing of smart grid big data.In view of the large quantity and hysteresis mode of the unstructured data and based on many features of the real data,this paper proposes to build the model for the unstructured data.This paper mainly discusses the key technical features of the unstructured data modeling based on smart grid big data are mainly discussed,covering storage,query and data visualiza-tion and feature space selection of the original data and feature data.
出处
《电网与清洁能源》
北大核心
2017年第1期13-17,23,共6页
Power System and Clean Energy
基金
国家高技术研究发展计划(863计划)资助项目(2015AA050202)
福建省电力有限公司科技项目(521320135095)~~
