Artificial intelligence and machine learning-based modeling and control of wireless power transfer systems
Wireless power transfer (WPT) technology has emerged as a promising solution for numerous applications, including electric vehicles, consumer electronics, and medical devices. This paper focuses on the application of advanced artificial intelligence (AI) methods, specifically Random Forest and XG...
Main Author: | Zhi, Boyuan |
---|---|
Other Authors: | Yun Yang |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2025
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/182529 |
Similar Items
-
Modelling and control of wireless power transfer systems
by: Wong, Jun Jie
Published: (2021) -
Artificial intelligence, machine learning and health systems
by: Panch, Trishan, et al.
Published: (2020) -
Modeling, analysis and control of wireless power transfer systems
by: Chen, Bolantian
Published: (2022) -
Artificial intelligence-based power system stabilizers for frequency stability enhancement in multi-machine power systems
by: Sabo, Aliyu, et al.
Published: (2021) -
Artificial intelligence/machine learning for wealth management
by: Teo, Wee Ren
Published: (2022)