Toggle navigation
Publications
Researchers
Institutions
0
Sign In
Federated Authentication
(Click on the image)
Local Sign In
Password Recovery
Register
Sign In
Publications
Search
Statistics
Data Mining Techniques for Electricity Customer Characterization
AuthID
P-00V-9BX
7
Author(s)
Ramos, S
·
Soares, J
·
Cembranel, SS
·
Tavares, I
·
Foroozandeh, Z
·
Vale, Z
·
Fernandes, R
6
Editor(s)
Zelinka,I;Pereira,FMFL;Das,S;Ilin,A;Diveev,A;Nikulchev,E
Document Type
Proceedings Paper
Year published
2021
Published
in
14TH INTERNATIONAL SYMPOSIUM INTELLIGENT SYSTEMS
in
Procedia Computer Science,
ISSN: 1877-0509
Volume: 186, Pages: 475-488 (14)
Conference
14Th International Symposium on Intelligent Systems,
Date:
DEC 14-16, 2020,
Location:
ELECTR NETWORK
Indexing
Wos
®
Scopus
®
Crossref
®
16
Google Scholar
®
Metadata
Sources
Publication Identifiers
DOI
:
10.1016/j.procs.2021.04.168
Scopus
: 2-s2.0-85112688258
Wos
: WOS:000681122800060
Source Identifiers
ISSN
: 1877-0509
Export Publication Metadata
Export
×
Publication Export Settings
BibTex
EndNote
APA
Export Preview
Marked List
Add to Marked List
Info
At this moment we don't have any links to full text documens.
×
Select Source
This publication has:
2 records from
ISI
2 records from
SCOPUS
2 records from
DBLP
2 records from
Unpaywall
2 records from
Openlibrary
2 records from
Handle
Please select which records must be used by Authenticus!
×
Preview Publications
© 2024 CRACS & Inesc TEC - All Rights Reserved
Privacy Policy
|
Terms of Service