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