Research Article
Simulation Study on Clustering Approaches for Short-Term Electricity Forecasting
Table 4
Voting results for the relevant number of clusters based on the partition type and the time series similarity measure.
| | Measure distance | Number of clusters | | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
| | Autocorrelation-based distances | 5 | 2 | 3 | 1 | 0 | 0 | 0 | 2 | | Distance based on cross-correlation | 4 | 1 | 1 | 1 | 2 | 0 | 1 | 3 | | DTW distance | 7 | 5 | 1 | 0 | 1 | 0 | 0 | 0 | | EDR distance | 6 | 6 | 0 | 0 | 0 | 1 | 0 | 0 | | distance | 8 | 2 | 2 | 2 | 0 | 0 | 0 | 0 | | Periodogram-based distances | 7 | 3 | 0 | 0 | 0 | 0 | 2 | 2 | | Fourier coefficients-based distance | 8 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | | LCSS distance | 2 | 1 | 0 | 3 | 1 | 0 | 1 | 5 | | STS distance | 5 | 1 | 0 | 1 | 1 | 0 | 1 | 4 | | TQuest distance | 2 | 2 | 1 | 1 | 3 | 3 | 0 | 1 |
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