Machine Learning Based Modeling for Real-Time Inferencer-In-the-Loop Hardware Emulation of High-Speed Rail Microgrid

Songyang Zhang, Tian Liang, Tianshi Cheng, Venkata Dinavahi

doi:doi:10.7939/r3-6z1f-8w34

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Electrical and Computer Engineering, Department of / Journal Articles (Electrical and Computer Engineering)

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Machine Learning Based Modeling for Real-Time Inferencer-In-the-Loop Hardware Emulation of High-Speed Rail Microgrid

Author(s) / Creator(s)
- Songyang Zhang, Tian Liang, Tianshi Cheng, Venkata Dinavahi
Date created

2022-06-01
Subjects / Keywords
- Artificial intelligence (AI), field-programmable gate arrays (FPGAs), hardware-in-the-loop (HIL), insulated-gate bipolar transistor (IGBT), inferencer-in-the-loop (IIL), machine learning (ML), power electronics, recurrent neural network (RNN), real-time systems, silicon carbide (SiC).
Type of Item

Article (Published)
DOI

https://doi.org/10.7939/r3-6z1f-8w34
License

Attribution-NonCommercial-NoDerivatives 4.0 International

Language
- English