Machine Learning Building Blocks for Real-Time Emulation of Advanced Transport Power Systems

Machine Learning Building Blocks for Real-Time Emulation of Advanced Transport Power Systems

The revolution of artificial intelligence (AI) is transforming major industries worldwide. With accurate inferencing, AI has caught the attention of many engineers and scientists. Promisingly, hardware-in-the-loop (HIL) emulation can adopt this type of modeling method as one of the alternatives afte...

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Bibliographic Details
Main Authors: Songyang Zhang, Tian Liang, Venkata Dinavahi
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Open Journal of Power Electronics
Subjects:
Artificial intelligence (AI)
field -programmable gate arrays (FPGAs)
gated recurrent units (GRU)
hardware -in-the-loop (HIL)
insulated -gate bipolar transistor (IGBT)
long short-term memory (LSTM)
Online Access:https://ieeexplore.ieee.org/document/9263346/

Internet

https://ieeexplore.ieee.org/document/9263346/

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