• *Search*: Machine Learning Integration in Power Electronics

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Machine Learning Integration in Power Electronics
Hasan Ali Gamal Al-kaf ; Kyo-Beum Lee ; Hasan Ali Gamal Al-kaf ; et al.

Electric power productio... Electric machinery Machine learning Power electronics Human-machine systems
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Machine Learning based Digital Twin model of Inverter-Based Photovoltaic System
Kumari, Namita ; Sharma, Ankush ; Tran, Binh ; et al.
2025 IEEE Power & Energy Society General Meeting (PESGM) Power & Energy Society General Meeting (PESGM), 2025 IEEE. :1-5 Jul, 2025

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Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems.
Bharaneedharan, Balasundaram ; Panchanathan, Suresh ; Kit, Chan Choon ; et al.
Energy Science & Engineering. Jan2026, p1. 27p. 9 Illustrations.

ARTIFICIAL intelligence ELECTRIC power systems FORECASTING RENEWABLE energy sources MATHEMATICAL optimizatio... ENERGY storage …
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Emerging Advanced Electronic Packaging Materials for Thermal Management in Power Electronics.
Huo Y ; Song J ; Li W ; et al.
Publisher: WILEY-VCH Country of Publication: Germany NLM ID: 101664569 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2198-3844 (Electronic) Linking ISSN: 21983844 NLM ISO Abbreviation: Adv Sci (Weinh) Subsets: MEDLINE

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Intelligent Congestion Management for Power Transmission Systems: Integration of Machine Learning and FACTS Devices.
Bhukya, Ramu ; Kumar, S. V. D. Anil ; Ram, Mylavarapu Kalyan ; et al.
IAENG International Journal of Computer Science. Oct2025, Vol. 52 Issue 10, p3972-3984. 13p.

Power transmission Machine learning Mathematical optimizatio... Flexible AC transmission... Renewable energy sources
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A Review of Machine Learning Applications in Power System Resilience
Xie, Jian ; Alvarez-Fernandez, Inalvis ; Sun, Wei
2020 IEEE Power & Energy Society General Meeting (PESGM) Power & Energy Society General Meeting (PESGM), 2020 IEEE. :1-5 Aug, 2020

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Temporal Contrastive Learning for Transient Voltage Stability Assessment
Zhu, Siting ; Ye, Zhe ; Yu, Yun ; et al.
2025 International Conference on Energy Technology and Electrical Engineering (ETEE) Energy Technology and Electrical Engineering (ETEE), 2025 International Conference on. :40-44 Aug, 2025

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Next Generation of AI for Power Electronics: Explainable, Light, and Flexible
Li, Xinze

Artificial intelligence Power Electronics Physics-informed machine...
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Integration—A Major Driver of Power Electronics Innovation
Huber, J. ; Jahns, T.M. ; Kolar, J.W.
IEEE Transactions on Power Electronics IEEE Trans. Power Electron. Power Electronics, IEEE Transactions on. PP(99):1-17

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Recurrent graph transformer network for multiple component-level fault localisation in naval shipboard systems.
Ngo, Quang-Ha ; Barnola, Isabel ; Vu, Tuyen ; et al.
Journal of Marine Engineering & Technology. Oct2025, p1-11. 11p. 8 Illustrations.

FAULT diagnosis GRAPH neural networks DIAGNOSIS MACHINE learning HIGH voltages POWER electronics …
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DeepPQDs-DWT-STNet: A novel DWT-ST and hybrid deep learning framework for power quality disturbance classification.
Jayasree, T. ; Binisha, R.
Ain Shams Engineering Journal. Nov2025, Vol. 16 Issue 11, pN.PAG-N.PAG. 1p.

Power quality disturbanc... Deep learning Real-time computing Electric power failures Renewable energy sources Wavelets (Mathematics) …
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Advanced method for precise fault location in transmission networks.
Omeje, Osita U. ; Bankole, Olanrewaju M. ; Okojie, Daniel E. ; et al.
Journal of King Saud University - Engineering Sciences. Jun2025, Vol. 37 Issue 3, p1-19. 19p.

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Machine learning-based energy management and power forecasting in grid-connected microgrids with multiple distributed energy sources.
R Singh A ; Kumar RS ; Bajaj M ; et al.
Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE

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Convergence of Nanotechnology and Machine Learning: The State of the Art, Challenges, and Perspectives.
Tripathy, Arnav ; Patne, Akshata Y. ; Mohapatra, Subhra ; et al.
International Journal of Molecular Sciences; Nov2024, Vol. 25 Issue 22, p12368, 20p

MACHINE learning DEEP learning COMPUTER engineering ELECTRONIC data processi... COMPUTER engineers
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