Multi-strategy active learning for power quality disturbance identification
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference32 articles.
1. Sustainable development of countries all over the world and the impact of renewable energy;Sueyoshi;Renew. Energy,2022
2. Emerging power quality challenges due to integration of renewable energy sources;Liang;IEEE Trans. Ind. Appl.,2017
3. A novel three-step classification approach based on time-dependent spectral features for complex power quality disturbances;Liu;IEEE Trans. Instrum. Meas.,2021
4. Classification of complex power quality disturbances using optimized S-transform and kernel SVM;Tang;IEEE Trans. Ind. Electron.,2020
5. Adaptive spectral trend based optimized EWT for monitoring the parameters of multiple power quality disturbances;Liu;Int. J. Electr. Power Energy Syst.,2023
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