University of Ljubljana – Slovenia Faculty of electrical engineering

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Comparison of different classification methods for the consumers’ load profile determination University of Ljubljana – Slovenia Faculty of electrical engineering Samo GAŠPERIČ, David GERBEC, Prof. dr. Ferdinand GUBINA

Typical Load Profile Determination for the eligible consumers Comparison of different classification techniques: Fuzzy C-means Hierarchical clustering algorithms for an Average distance between clusters, a Ward distance between clusters.

Flow-chart of Typical Load Profile Determination The load curve sampling interval 15 min. The algorithms were tested on 288 measured load profiles.

Comparison of some classification results FCM HCw HCa 1 29 32 81 2 17 18 20 3 36 33 / 4 78 5 14 12 41 6 7 8 28 43

Conclusion The most similar results of applied clustering algorithms were obtained by FCM algorithm and HCw. Results show that clustering algorithms enable classification of different daily load curves.