An Efficient MCD-OSVM Model for Outlier Detection in IoT-Based Smart Energy Management Systems

Approved

Classifications

MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal

Authors of the publication

Number of authors
7
Authors
Wong, Parh Yong; Alduais, Nayef Abdulwahab Mohammed; Mahdin, Hairulnizam Bin; Saad, Abdul Malik H.Y.; Abdul-Qawy, Antar Shaddad Hamed; Nasser, Abdullah B.; Ghanem, Waheed Ali H.M.

Publication channel information

Title of journal/series
Journal of soft computing and data mining
ISSN (electronic)
2716-621X
ISSN (linking)
2716-621X
Publisher
Universiti Tun Hussein Onn Malaysia
Publication forum ID
93156
Publication forum level
0
Publication appears in FT-list
No
Country of publication
Malaysia
Internationality
Yes

Detailed publication information

Publication year
2024
Reporting year
2024
Journal/series volume number
5
Journal/series issue number
2
Page numbers
1-14
DOI
10.30880/jscdm.2024.05.02.001
Language of publication
English

Co-publication information

International co-publication
Yes
Co-publication with a company
No

Availability

Link to self-archived version
https://urn.fi/URN:NBN:fi-fe2025061267435

Classification and additional information

MinEdu field of science classification
113 Computer and information sciences
Keywords
Internet of Things (IoT); Minimum Covariance Determinant (MCD); One-class Support Vector Machine (OSVM); outlier detection techniques; smart energy management system

Funding information

Funding information in the publication
This review is done under the support of the GPPS Grant of UTHM, at GPPS VOT Q596.

Source database ID

Scopus ID
2-s2.0-85213349185