Application of Artificial Intelligence Techniques on Computational Electromagnetics for Power System Apparatus: An Overview
This paper provides a review of the most recent advances in artificial intelligence (AI) as applied to computational electromagnetics (CEM) to address challenges and unlock opportunities in power system applications. It is intended to provide readers and practitioners in electromagnetics (EM) and re...
Saved in:
Main Authors: | Dinusha Maramba Gamage, Madhawa Ranasinghe, Venkata Dinavahi |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Open Access Journal of Power and Energy |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10473758/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Per‐unit transformation for the combined analysis of multi‐energy integration
by: Zhang Zhang, et al.
Published: (2024-12-01) -
Deep-TEMNet: A Hybrid U-Net–2D LSTM Network for Efficient and Accurate 2.5D Transient Electromagnetic Forward Modeling
by: Zhijie Qu, et al.
Published: (2025-01-01) -
A Gas Sensor Design and Heat Transfer Simulation with ZnO and TiO2 Sensing Layers
by: Gözde Konuk Ege, et al.
Published: (2021-06-01) -
Algorithm Development and Design of Lattice Conical Shell Under Mechanical and Thermal Loads
by: Behrooz Shahriari, et al.
Published: (2025-01-01) -
A Novel Neural Network-Based Approach Comparable to High-Precision Finite Difference Methods
by: Fanghua Pei, et al.
Published: (2025-01-01)