A Novel Method for Detecting Abnormal Energy Data in Building Energy Monitoring System
Author
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-10-16
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
This paper presents a novel abnormal data detecting algorithm based on the first order difference method, which could be used to find out outlier in building energy consumption platform real time.
The principle and criterion of methodology are discussed in detail.
The results show that outlier in cumulative power consumption could be detected by our method.
American Psychological Association (APA)
Zhao, Liang. 2014. A Novel Method for Detecting Abnormal Energy Data in Building Energy Monitoring System. Journal of Energy،Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-1040536
Modern Language Association (MLA)
Zhao, Liang. A Novel Method for Detecting Abnormal Energy Data in Building Energy Monitoring System. Journal of Energy No. 2014 (2014), pp.1-5.
https://search.emarefa.net/detail/BIM-1040536
American Medical Association (AMA)
Zhao, Liang. A Novel Method for Detecting Abnormal Energy Data in Building Energy Monitoring System. Journal of Energy. 2014. Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-1040536
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1040536
