Performance Assessment and Improvement of Classifiers Using Error Correcting Output Code for Islanding Detection in Microgrid
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-4971-5_45
Reference16 articles.
1. Najy WKA, Zeineldin HH, Alaboudy AHK, Woon WL (2011) A Bayesian passive islanding detection method for inverter-based distributed generation using ESPRIT. IEEE Trans Power Deliv 26(4):687–2696
2. Adari S, Bhalja BR (2016) Islanding detection of distributed generation using random forest technique. In: Proceedings of 6th international conference on power systems (ICPS), New Delhi, IEEE, pp 1–6
3. Al-Bataineh H, Kavasseri RG (2017) Islanding detection with data mining methods—a comparative study. In: Proceedings of ninth annual IEEE green technologies conference (GreenTech). IEEE, pp 104–109
4. Sun R, Wu Z, Centeno VA (2011) Power system islanding detection & identification using topology approach and decision tree. In: Proceedings of IEEE power and energy society general meeting. IEEE, pp 1–6
5. Lwin M, Min KW, Padullaparti HV, Santoso S (2017) Symmetrical fault detection during power swings: an interpretable supervised learning approach. In: Proceedings of IEEE power & energy society general meeting. IEEE, pp 1–5
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