Author:
Lazzaretti André Eugenio,Ferreira Vitor Hugo,Neto Hugo Vieira
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications,Energy Engineering and Power Technology,Control and Systems Engineering
Reference23 articles.
1. Biswal, B., Biswal, M., Mishra, S., Member, S., & Jalaja, R. (2014). Automatic classification of power quality events using balanced neural tree. IEEE Transactions on Power Electronics, 61(1), 521–530.
2. Bollen, M., & Gu, I. (2006). Signal processing of power quality disturbances. Chichester: Wiley-IEEE Press.
3. Cheung, Y.-M. (2005a). Maximum weighted likelihood via rival penalized EM for density mixture clustering with automatic model selection. IEEE Transactions on Knowledge and Data Engineering, 17, 750–761.
4. Cheung, Y.-M. (2005b). On rival penalization controlled competitive learning for clustering with automatic cluster number selection. IEEE Transactions on Knowledge and Data Engineering, 17, 1583–1588.
5. Dahal, N., Abuomar, O., King, R., & Madani, V. (2015). Event stream processing for improved situational awareness in the smart grid. Expert Systems with Applications, 42(20), 6853–6863. ISSN 09574174.
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