Publication: A review of potential applications of Tensor Decompositions to Electromagnetics and energy works
Date
2022
Authors
Mageed I.A.
Yilmaz M.
Zhang Q.
Celikel R.
Sidhu M.S.
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Abstract
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.
Description
Tensors; Uncertainty analysis; Canonical polyadic; Electromagnetic analysis; Electromagnetic solvers; Electromagnetics; Energy; Energy work; Smart grid; Surrogate modeling; Tensor decomposition; Uncertainty quantifications; Smart power grids