A Machine Learning-Enabled Clustering Approach for Large-scale Classification of Solar Data-Reference-Cited by-同舟云学术

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A Machine Learning-Enabled Clustering Approach for Large-scale Classification of Solar Data

Published:2021-11-14 Issue: Volume: Page:
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Container-title:2021 North American Power Symposium (NAPS)
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Author:

Osunwoke Ebuka B,Ullah S.M. Safayet,Abianeh Ali Jafarian,Ferdowsi Farzad,Chambers Terrence L

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9654273/9654259/09654549.pdf?arnumber=9654549

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel enhanced SOC estimation method for lithium-ion battery cells using cluster-based LSTM models and centroid proximity selection;Journal of Energy Storage;2024-09

2. Resilience-Enabling Load Flexibility and Resource Adequacy Investment in Microgrids;2023 IEEE Texas Power and Energy Conference (TPEC);2023-02-13

3. Modeling Domestic Solar Generation Profiles Using Elbow and K-Means Clustering Techniques;2022 12th International Conference on System Engineering and Technology (ICSET);2022-10-03

4. Machine Learning-Aided Anomaly Detection for Secure Smartification of Solar Inverters;2022 IEEE Kansas Power and Energy Conference (KPEC);2022-04-25

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