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投稿时间：2017-05-02
投稿时间：2017-05-02
中文摘要: 分析了配电网运行维护的现状，并指出了其中存在的问题。将大数据分析及数据关联挖掘技术应用于配电网运行维护中，提出了基于Apriori关联算法的配电网运行大数据关联分析模型。对上海某供电公司配电网实际抢修数据进行关联分析，挖掘出了配电网运行维护中各运行因素与运行维护指标之间的显性或隐性关联。
Abstract:The status quo of the maintenance of the distribution network is analyzed and its existing problems are laid out.The big data correlation analysis based on Apriori association algorithm is proposed.A power supply company in Shanghai with the actual distribution network repair data is analyzed by using the model proposed.The explicit or implicit association between the factors and index are excavated.
keywords: data mining data association distribution network operation and maintenance big data analysis
文章编号：20182013 中图分类号： 文献标志码：
基金项目:
| 作者 | 单位 | |
| 韩博闻 | 国网上海浦东供电公司 | hwb1157@163.com |
| Author Name | Affiliation | |
| HAN Bowen | State Grid Shanghai Pudong Power Supply Company, Shanghai 200122, China | hwb1157@163.com |
引用文本：
韩博闻.基于Apriori关联算法的配电网运行大数据关联分析模型[J].上海电力大学学报,2018,34(2):163-168,195.
HAN Bowen.Big Data Association Analysis Model of Distribution Network Operation and Maintenance Based on Apriori Correlation Algorithm[J].Journal of Shanghai University of Electric Power,2018,34(2):163-168,195.
韩博闻.基于Apriori关联算法的配电网运行大数据关联分析模型[J].上海电力大学学报,2018,34(2):163-168,195.
HAN Bowen.Big Data Association Analysis Model of Distribution Network Operation and Maintenance Based on Apriori Correlation Algorithm[J].Journal of Shanghai University of Electric Power,2018,34(2):163-168,195.