Name
Title | ||
|---|---|---|
Classification of Massive User Load Characteristics in Distribution Network Based on Agglomerative Hierarchical Algorithm |
Abstract | ||
|---|---|---|
In order to improve primary energy utilization, achieve economical operation of distribution network, comprehensively consider the concentration / compensation needs of various groups under typical load levels, and to gain understanding of characteristics of different types of user loads, the present paper proposes a hierarchical cluster algorithm to enhance the cohesion of a distribution feeder load characteristic clustering algorithm circumstances. This will serve to ultimately provide effective guidance for electricity energy conservation as well as to better realize peak load shifting. By cutting distribution network load time sequence data in longitudinal manner, relevant feature were extracted to achieve user load characteristics classification based on hierarchical clustering algorithm. Such classification will therefore assist to optimize distribution network scheduling. It is therefore an effective way to enhance accuracy and effectiveness of relevant power distribution decision-making. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/CyberC.2016.41 | 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) |
Keywords | Field | DocType |
Agglomerative hierarchical clustering,Users load characteristics classification,Distribution network,Data Mining | Hierarchical clustering,Data mining,Energy conservation,Algorithm design,Computer science,Scheduling (computing),AC power,Feature extraction,Cluster analysis,Statistical classification | Conference |
ISBN | Citations | PageRank |
978-1-5090-5155-7 | 0 | 0.34 |
References | Authors | |
3 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yinglong Diao | 1 | 1 | 1.42 |
| Ke-yan Liu | 2 | 1 | 2.44 |
| Lijuan Hu | 3 | 0 | 1.35 |
| Dongli Jia | 4 | 0 | 1.01 |
| Weijie Dong | 5 | 0 | 0.68 |