Machine Learning Methods for Feedforward Power Flow Control of Multi-Active-Bridge Converters
Author:
Affiliation:
1. Department of Electrical and Computer Engineering and the Andlinger Center for Energy and the Environment, Princeton University, Princeton, NJ, USA
Funder
ARPA-E CIRCUITS program
National Science Foundation
American Tower Corporation
Princeton Andlinger Center E-ffiliates Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
https://ieeexplore.ieee.org/ielam/63/9952160/9925067-aam.pdf
Reference33 articles.
1. What is the state of neural network pruning?;blalock,2020
2. TensorFlow: Large-scale machine learning on heterogeneous distributed systems;abadi,2016
3. An Isolated Three-Port Bidirectional DC-DC Converter With Decoupled Power Flow Management
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