发表状态 | 已发表Published |
题名 | Deep learning-based socio-demographic information identification from smart meter data |
作者 | |
发表日期 | 2019-05-01 |
发表期刊 | IEEE Transactions on Smart Grid
![]() |
ISSN/eISSN | 1949-3053 |
卷号 | 10期号:3页码:2593-2602 |
摘要 | Smart meters provide large amounts of data and the value of this data is getting increased attention because a better understanding of the characteristics of consumers helps utilities and retailers implement more effective demand response programs and more personalized services. This paper investigates how such characteristics can be inferred from fine-grained smart meter data. A deep convolutional neural network (CNN) first automatically extracts features from massive load profiles. A support vector machine then identifies the characteristics of the consumers. Comprehensive comparisons with state-of-the-art and advanced machine learning techniques are conducted. Case studies on an Irish dataset demonstrate the effectiveness of the proposed deep CNN-based method, which achieves higher accuracy in identifying the socio-demographic information about the consumers. |
关键词 | big data classification Convolutional neural network (CNN) deep learning smart meter socio-demographic information support vector machine (SVM) |
DOI | 10.1109/TSG.2018.2805723 |
URL | 查看来源 |
收录类别 | SCIE |
语种 | 英语English |
WOS研究方向 | Engineering |
WOS类目 | Engineering, Electrical & Electronic |
WOS记录号 | WOS:000466603800023 |
Scopus入藏号 | 2-s2.0-85042102008 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/9130 |
专题 | 个人在本单位外知识产出 |
通讯作者 | Kang, Chongqing |
作者单位 | 1.Department of Electrical Engineering,State Key Laboratory of Power Systems,Tsinghua University,Beijing,100084,China 2.Department of Electrical Engineering,University of Washington,Seattle,98195,United States |
推荐引用方式 GB/T 7714 | Wang, Yi,Chen, Qixin,Gan, Dahuaet al. Deep learning-based socio-demographic information identification from smart meter data[J]. IEEE Transactions on Smart Grid, 2019, 10(3): 2593-2602. |
APA | Wang, Yi, Chen, Qixin, Gan, Dahua, Yang, Jingwei, Kirschen, Daniel S., & Kang, Chongqing. (2019). Deep learning-based socio-demographic information identification from smart meter data. IEEE Transactions on Smart Grid, 10(3), 2593-2602. |
MLA | Wang, Yi,et al."Deep learning-based socio-demographic information identification from smart meter data". IEEE Transactions on Smart Grid 10.3(2019): 2593-2602. |
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 |
[Wang, Yi]的文章 |
[Chen, Qixin]的文章 |
[Gan, Dahua]的文章 |
百度学术 |
百度学术中相似的文章 |
[Wang, Yi]的文章 |
[Chen, Qixin]的文章 |
[Gan, Dahua]的文章 |
必应学术 |
必应学术中相似的文章 |
[Wang, Yi]的文章 |
[Chen, Qixin]的文章 |
[Gan, Dahua]的文章 |
相关权益政策 |
暂无数据 |
收藏/分享 |
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。
修改评论