Outlier Identification and Reconstruction for Photovoltaic Power Data with High Proportion of Outliers
Author:
Affiliation:
1. Guangdong Power Grid Co. LTD,Jiangmen Power Supply Bureau,Jiangmen,Guangdong,China,529030
2. Guangdong Power Grid Co. LTD,Power dispatch control cente,Guangzhou,China,510600
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10330799/10330806/10331532.pdf?arnumber=10331532
Reference18 articles.
1. An unsupervised monitoring procedure for detecting anomalies in photovoltaic systems using a one-class Support Vector Machine
2. Development of Photovoltaic abnormal condition detection system using combined regression and Support Vector Machine
3. Machine Recognition Algorithm of High proportion outlier of photovoltaic power Based on Copula Theory [J];Yingfei;Automation of Electric Power Systems,2016
4. Identification algorithm of photovoltaic power outlier data based on feature analysis of illumination process [J];Yang;Automation of Electric Power Systems,2019
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3