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AuthorSoliman, S.A.
AuthorAlammari, R.A.
AuthorTemraz, H.K.
AuthorEl-Hawary, M.E.
Available date2024-05-23T05:12:38Z
Publication Date2002
Publication NameInternational Journal of Electrical Power and Energy Systems
ResourceScopus
Identifierhttp://dx.doi.org/10.1016/S0142-0615(01)00033-3
ISSN1420615
URIhttp://hdl.handle.net/10576/55328
AbstractIn this paper, we present a new formulation of a fuzzy linear estimation problem as one of the linear programming where the objective is to minimize the spread of the data points, subject to constraints on each measurement point to guarantee that the original membership is included in the estimated membership. Different models are developed based on fuzzy triangular membership as well as fuzzy numbers of LR-type, and applied to different examples in fuzzy linear regression and finally we apply these models for estimating the electrical load on a substation busbar. It is demonstrated that since the nature of the load is characterized by uncertainty, the proposed technique is well suited to apply for electrical load estimation.
Languageen
PublisherElsevier
SubjectElectrical lead estimation
Fuzzy parameters
Linear programming
Optimization
TitleFuzzy linear parameter estimation algorithms: A new formulation
TypeArticle
Pagination415-420
Issue Number5
Volume Number24
dc.accessType Abstract Only


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