Density-based spatial clustering of application with noise algorithm for the classification of solar radiation time series

@article{Khalil2016DensitybasedSC,
  title={Density-based spatial clustering of application with noise algorithm for the classification of solar radiation time series},
  author={Benmouiza Khalil and Cheknane Ali},
  journal={2016 8th International Conference on Modelling, Identification and Control (ICMIC)},
  year={2016},
  pages={279-283}
}
The study of the dynamic behaviour of the solar radiation is a very important task for PV system efficiency. Hence, we propose in this paper, a time series data mining method to detect the underlying dynamic presents in hourly solar radiation time series. Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is used to cluster the solar radiation time series and detect noisy data. Moreover, the proposed method is compared with two unsupervised clustering techniques, k-means and… CONTINUE READING
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