Power load data preprocessing based on PFCM algorithm and neural network
Hao, Xiaohong1; Zhang, Chunyan2; Li, Hang2; Wang, Weizhou3; Liu, Fuchao4
2019-05-01
会议名称8th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019
会议录名称Proceedings of 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019
页码1579-1583
会议日期May 24, 2019 - May 26, 2019
会议地点Chongqing, China
出版者Institute of Electrical and Electronics Engineers Inc.
摘要Load data of power system are easily affected by various random factors to generate the abnormal data, which affects the accuracy of load forecasting and the effectiveness of load dispatch, even damages the safe and stable operation of power grid. In response to these anomalous data, a method of outliers modification integrated by PFCM clustering algorithm and RBF neural network is proposed in this paper. Firstly, the FPCM algorithm adaptively determines the number of clusters is used to cluster load curve according to the similarity and identify the abnormal data; Secondly, Secondly, the RBF network which optimized by genetic algorithm optimization is trained by classification of normal data where abnormal data belong to; Finally, the trained neural network is used to correct the abnormal data. The experiment indicates: the method can obtain the clustering result of the ideal load curve, and correct outliers more accurately at same. Compared with the traditional correction method, the average relative error of the method is reduced by 1.08% and 1.51% respectively. © 2019 IEEE.
关键词Classification (of information) Curve fitting Electric load dispatching Electric power plant loads Electric power transmission networks Genetic algorithms Radial basis function networks Statistics Average relative error Clustering results Genetic-algorithm optimizations Number of clusters Outliers Power load RBF Neural Network Trained neural networks
DOI10.1109/ITAIC.2019.8785443
收录类别EI
语种英语
EI入藏号20193507359859
EI主题词Clustering algorithms
来源库Compendex
分类代码706.1.1 Electric Power Transmission - 903.1 Information Sources and Analysis - 921.6 Numerical Methods - 922.2 Mathematical Statistics
引用统计
被引频次[WOS]:0   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://ir.lut.edu.cn/handle/2XXMBERH/118127
专题电气工程与信息工程学院
作者单位1.College of Electrical and Information Engineering, Lanzhou University of Technology, China;
2.College of Computer and Communication, Lanzhou University of Technology, China;
3.Power Control Center of Gansu Electric Power Company, China;
4.Power Grid Technology Center of Gansu Electric Power Research Institute, China
第一作者单位兰州理工大学
推荐引用方式
GB/T 7714
Hao, Xiaohong,Zhang, Chunyan,Li, Hang,et al. Power load data preprocessing based on PFCM algorithm and neural network[C]:Institute of Electrical and Electronics Engineers Inc.,2019:1579-1583.
条目包含的文件
条目无相关文件。
个性服务
查看访问统计
谷歌学术
谷歌学术中相似的文章
[Hao, Xiaohong]的文章
[Zhang, Chunyan]的文章
[Li, Hang]的文章
百度学术
百度学术中相似的文章
[Hao, Xiaohong]的文章
[Zhang, Chunyan]的文章
[Li, Hang]的文章
必应学术
必应学术中相似的文章
[Hao, Xiaohong]的文章
[Zhang, Chunyan]的文章
[Li, Hang]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。