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Load Consumption Characterization and Tariff Design Based on Data Mining Techniques
AuthID
P-010-M1P
5
Author(s)
Ramos, S
·
Morais, H
·
Soares, J
·
Foroozandeh, Z
·
Vale, Z
2
Editor(s)
Pierfederici,S;Martin,JP
Document Type
Proceedings Paper
Year published
2024
Published
in
ELECTRIMACS 2022, VOL 2
in
Lecture Notes in Electrical Engineering,
ISSN: 1876-1100
Volume: 1164, Pages: 243-256 (14)
Conference
14Th International Conference of the Electrimacs Committee (Electrimacs),
Date:
MAY 17-21, 2022,
Location:
Nancy, FRANCE
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Publication Identifiers
DOI
:
10.1007/978-3-031-55696-8_16
Scopus
: 2-s2.0-85195886940
Wos
: WOS:001282154600016
Source Identifiers
ISSN
: 1876-1100
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