舰船电子工程2018，Vol.38Issue(6)：109-112,116,5.DOI:10.3969/j.issn.1672-9730.2018.06.028
基于混合算法的智能电表计量自动化研究
Research on Intelligent Meter Measurement Automation Based on Regression Analysis
鲁观娜 1吕言国 2李文文 1姜振宇 2黄凡1
作者信息
- 1. 国网冀北电力有限公司电力科学研究院 北京 100045
- 2. 华北电力科学研究院有限责任公司 北京 100045
- 折叠
摘要
Abstract
In view of the large number of user types and different user power consumption patterns in power industry,a re?al-time load forecasting method based on user clustering strategy for smart meters is proposed. This method takes first order moment of the user load as features,then the clustering algorithm is used to different power mode the user classification,and then regression algorithm is used to predict the load on the user classification. By predicting the load superposition of all kinds of users,real-time load forecasting total power is gotten. The experimental results show that the hybrid algorithm has a high accuracy and has a certain guiding significance for power dispatching.关键词
智能电表/回归分析算法/聚类算法/计量自动化/负荷预测Key words
smart meter/regression analysis algorithm/clustering algorithm/metering automation/load forecasting分类
信息技术与安全科学引用本文复制引用
鲁观娜,吕言国,李文文,姜振宇,黄凡..基于混合算法的智能电表计量自动化研究[J].舰船电子工程,2018,38(6):109-112,116,5.
