Load Modeling by Finding Support Vectors of Load Data From Field Measurements

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dc.contributor.authorJin, Ma
dc.contributor.authorHe, Renmu
dc.contributor.authorHill, David
dc.date.accessioned2015-12-07T22:25:42Z
dc.date.issued2006
dc.date.updated2015-12-07T09:40:15Z
dc.description.abstractThe representation of load dynamic characteristics remains an area of great uncertainty and has become a limiting factor for power system analysis and control. The random nature of the load makes load modeling a very difficult problem, which becomes even
dc.identifier.issn0885-8950
dc.identifier.urihttp://hdl.handle.net/1885/21422
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.sourceIEEE Transactions on Power Systems
dc.subjectKeywords: Electric loads; Electric power factor; Electric power measurement; Learning systems; Mathematical models; Load modeling; Measurement approach; Support vectors; Electric power systems Load modeling; Measurement approach; Support vectors (SVs)
dc.titleLoad Modeling by Finding Support Vectors of Load Data From Field Measurements
dc.typeJournal article
local.bibliographicCitation.issue2
local.bibliographicCitation.lastpage735
local.bibliographicCitation.startpage726
local.contributor.affiliationJin, Ma, North China Electric Power University
local.contributor.affiliationHe, Renmu, North China Electric Power University
local.contributor.affiliationHill, David, College of Engineering and Computer Science, ANU
local.contributor.authoruidHill, David, u4218741
local.description.notesImported from ARIES
local.identifier.absfor090608 - Renewable Power and Energy Systems Engineering (excl. Solar Cells)
local.identifier.ariespublicationu3357961xPUB17
local.identifier.citationvolume21
local.identifier.doi10.1109/TPWRS.2006.873101
local.identifier.scopusID2-s2.0-33646366949
local.type.statusPublished Version

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