A Deep Neural Network Architecture for Composite Reliability Assessment
Author:
Affiliation:
1. University of Wyoming,Electrical Engineering and Computer Science,Laramie,WY,82071
Funder
U.S. Department of Energy
Office of Science
Basic Energy Sciences
Office of Electricity
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10252165/10252088/10252304.pdf?arnumber=10252304
Reference23 articles.
1. Composite system reliability analysis using particle swarm optimization
2. Genetic algorithms approach for the evaluation of composite generation-transmission systems reliability worth
3. DeepHyper: Asynchronous Hyperparameter Search for Deep Neural Networks
4. Unsupervised machine learning techniques applied to composite reliability assessment of power systems
5. A convolutional neural network-based approach to composite power system reliability evaluation
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