1. 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

2. 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.

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

4. 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

5. 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.