Extracting the Extreme Mode Operation of Coal Mills Using the Gaussian Mixture Model Method
Author:
Affiliation:
1. Hosei University,Department of Science and Engineering,Tokyo,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10075685/10075655/10076110.pdf?arnumber=10076110
Reference32 articles.
1. Research on clustering algorithm of user electricity behavior for identification of typical should scene
2. Increasing power plant efficiency with clustering methods and Variable Importance Index assessment
3. Application of Model-Based Deep Learning Algorithm in Fault Diagnosis of Coal Mills
4. Short-Term Wind Power Prediction Based on DBSCAN Clustering and Support Vector Machine Regression
5. Clustering Evaluation by Davies-Bouldin Index(DBI) in Cereal data using K-Means
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1. Uncovering Insights in Coal Mill Plant Operation Modes Using GMM-LSTM-Based Unsupervised Clustering;2024 32nd Southern African Universities Power Engineering Conference (SAUPEC);2024-01-24
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