SQY2021/Effinformer_IEEE-TIM
Effinformer: A Deep-Learning-Based Data-Driven Modeling of DC–DC Bidirectional Converters (Published in: IEEE Transactions on Instrumentation and Measurement (*IEEE TIM*))
This project helps power systems engineers and researchers accurately model the behavior of DC-DC bidirectional converters. It takes operational data from these converters and uses it to predict their future performance, specifically focusing on efficiency. This allows for better design, control, and optimization of power conversion systems.
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Use this if you need a highly accurate and computationally efficient way to predict the performance characteristics of DC-DC bidirectional converters based on real-world operational data.
Not ideal if you are looking for a physical, circuit-based simulation tool or a solution for AC-DC converters.
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Jupyter Notebook
License
Apache-2.0
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Last pushed
May 09, 2024
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