A review of potential applications of Tensor Decompositions to Electromagnetics and energy works
Tensors; Uncertainty analysis; Canonical polyadic; Electromagnetic analysis; Electromagnetic solvers; Electromagnetics; Energy; Energy work; Smart grid; Surrogate modeling; Tensor decomposition; Uncertainty quantifications; Smart power grids
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Institute of Electrical and Electronics Engineers Inc.
2023
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my.uniten.dspace-270322023-05-29T17:38:52Z A review of potential applications of Tensor Decompositions to Electromagnetics and energy works Mageed I.A. Yilmaz M. Zhang Q. Celikel R. Sidhu M.S. 57222724202 55874217200 58070690400 57193891483 56259597000 Tensors; Uncertainty analysis; Canonical polyadic; Electromagnetic analysis; Electromagnetic solvers; Electromagnetics; Energy; Energy work; Smart grid; Surrogate modeling; Tensor decomposition; Uncertainty quantifications; Smart power grids The 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. Final 2023-05-29T09:38:52Z 2023-05-29T09:38:52Z 2022 Conference Paper 10.1109/GEC55014.2022.9987191 2-s2.0-85146489463 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146489463&doi=10.1109%2fGEC55014.2022.9987191&partnerID=40&md5=9a5ef3d3b5b99d67797b37d4b1cc7a45 https://irepository.uniten.edu.my/handle/123456789/27032 385 390 Institute of Electrical and Electronics Engineers Inc. Scopus |
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Tensors; Uncertainty analysis; Canonical polyadic; Electromagnetic analysis; Electromagnetic solvers; Electromagnetics; Energy; Energy work; Smart grid; Surrogate modeling; Tensor decomposition; Uncertainty quantifications; Smart power grids |
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57222724202 |
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57222724202 Mageed I.A. Yilmaz M. Zhang Q. Celikel R. Sidhu M.S. |
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Conference Paper |
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Mageed I.A. Yilmaz M. Zhang Q. Celikel R. Sidhu M.S. |
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Mageed I.A. Yilmaz M. Zhang Q. Celikel R. Sidhu M.S. A review of potential applications of Tensor Decompositions to Electromagnetics and energy works |
author_sort |
Mageed I.A. |
title |
A review of potential applications of Tensor Decompositions to Electromagnetics and energy works |
title_short |
A review of potential applications of Tensor Decompositions to Electromagnetics and energy works |
title_full |
A review of potential applications of Tensor Decompositions to Electromagnetics and energy works |
title_fullStr |
A review of potential applications of Tensor Decompositions to Electromagnetics and energy works |
title_full_unstemmed |
A review of potential applications of Tensor Decompositions to Electromagnetics and energy works |
title_sort |
review of potential applications of tensor decompositions to electromagnetics and energy works |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2023 |
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1806424289313816576 |
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13.223943 |