Publication:
A review of potential applications of Tensor Decompositions to Electromagnetics and energy works

Simple item page
dc.contributor.authorMageed I.A.en_US
dc.contributor.authorYilmaz M.en_US
dc.contributor.authorZhang Q.en_US
dc.contributor.authorCelikel R.en_US
dc.contributor.authorSidhu M.S.en_US
dc.contributor.authorid57222724202en_US
dc.contributor.authorid55874217200en_US
dc.contributor.authorid58070690400en_US
dc.contributor.authorid57193891483en_US
dc.contributor.authorid56259597000en_US
dc.date.accessioned2023-05-29T09:38:52Z
dc.date.available2023-05-29T09:38:52Z
dc.date.issued2022
dc.descriptionTensors; Uncertainty analysis; Canonical polyadic; Electromagnetic analysis; Electromagnetic solvers; Electromagnetics; Energy; Energy work; Smart grid; Surrogate modeling; Tensor decomposition; Uncertainty quantifications; Smart power gridsen_US
dc.description.abstractThe approaches for tensor decomposition (TD) are reviewed in this study. For uncertainty quantification and electromagnetic (EM) solvers, we cover their applications to surrogate modeling (SM). The current study Discussion is undertaken regarding the significant impact of these decompositions on lowering memory. Additionally, the influential role of TDs in energy research is thoroughly reviewed. The latter review consolidates more foundational motivations and insights into further employment of TDs to advance research works. Conclusions and future directions are given. � 2022 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/GEC55014.2022.9987191
dc.identifier.epage390
dc.identifier.scopus2-s2.0-85146489463
dc.identifier.spage385
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85146489463&doi=10.1109%2fGEC55014.2022.9987191&partnerID=40&md5=9a5ef3d3b5b99d67797b37d4b1cc7a45
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27032
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleIEEE Global Energy Conference, GEC 2022
dc.titleA review of potential applications of Tensor Decompositions to Electromagnetics and energy worksen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
Files
Collections
SCOPUS