Results

eNauka >  Results >  Hybrid PSO–SVM method for short-term load forecasting during periods with significant temperature variations in city of Burbank
Title: Hybrid PSO–SVM method for short-term load forecasting during periods with significant temperature variations in city of Burbank
Authors: Selakov, Aleksandar  ; Cvijetinović, D.; Milović, L.; Mellon, S.; Bekut, Duško  
Issue Date: 2014
Publication: Applied Soft Computing
ISSN: 1872-9681 Applied Soft Computing Search Idenfier
Publisher: ELSEVIER
Type: Article
Collation: vol. 16 str. 80-88
DOI: 10.1016/j.asoc.2013.12.001
WoS-ID: 000330569000007
Scopus-ID: 2-s2.0-84891616845
URI: https://enauka.gov.rs/handle/123456789/399563
Metadata source: Migrirano iz RIS podataka
M-category: 
21aM21a

210
SCOPUSTM
149
OpenCitations
173
WEB OF SCIENCETM
Altmetric
Dimensions
Unpaywall

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.