Funder
Companhia Paranaense de Energia
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications,Energy Engineering and Power Technology,Control and Systems Engineering
Reference22 articles.
1. Ayyagari, S. B. (2011b). Artificial neural network based fault location for transmission lines, p. 117.
2. Ayyagari, S. B. (2011a). Artificial neural network based fault location for transmission lines, p. 117.
3. Barreto, N. et al. (2020). Artificial neural network solution for anomalous operation detection in power systems. Anais do SBSE 2020.
4. Biswal, M., Brahma, S. M., & Cao, H. (2016). Supervisory protection and automated event diagnosis using PMU data. IEEE Transactions on Power Delivery, 31(4), 1855–1863. https://doi.org/10.1109/TPWRD.2016.2520958
5. Brown, M. et al. (2016). Characterizing and quantifying noise in PMU data. In: 2016 IEEE power and energy society general meeting (PESGM). IEEE. https://doi.org/10.1109/PESGM.2016.7741972
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