Fault Diagnosis of AC Transmission System via GoogleNet
Author:
Affiliation:
1. Yunnan Power Grid Co. Ltd.,Qujing Power Supply Bureau,Qujing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10601630/10601669/10602407.pdf?arnumber=10602407
Reference14 articles.
1. Unlocking potential contribution of seasonal pumped storage to ensure the flexibility of power systems with high proportion of renewable energy sources
2. A data mining transmission switching heuristic for post-contingency AC power flow violation reduction in real-world, large-scale systems
3. Detection of secondary arc extinction and auto-reclosing in compensated AC transmission lines based on machine learning
4. Collaborative advanced machine learning techniques in optimal energy management of hybrid AC/DC IoT-based microgrids
5. LSTM autoencoders based unsupervised machine learning for transmission line protection
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