Load Pattern Shape Clustering Analysis for Manufacturing

2018 ◽  
pp. 67-80 ◽  
Author(s):  
Mark Junjie Li ◽  
Weiguang Liu
Keyword(s):  
Clustering Analysis ◽  
Load Pattern ◽  
Pattern Shape ◽  
Shape Clustering

Electrical Load Pattern Shape Clustering Using Ant Colony Optimization

2016 ◽  
pp. 491-506 ◽  
Author(s):  
Fernando Lezama ◽  
Ansel Y. Rodríguez ◽  
Enrique Muñoz de Cote ◽  
Luis  Enrique Sucar
Keyword(s):  
Ant Colony Optimization ◽  
Ant Colony ◽  
Electrical Load ◽  
Load Pattern ◽  
Pattern Shape ◽  
Shape Clustering

Residential Load Pattern Analysis for Smart Grid Applications Based on Audio Feature EEUPC

2013 ◽  
pp. 107-121
Author(s):  
Yunzhi Wang ◽  
Xiangdong Wang ◽  
Yueliang Qian ◽  
Haiyong Luo ◽  
Fujiang Ge ◽  
...  
Keyword(s):  
Smart Grid ◽  
Clustering Analysis ◽  
Pattern Analysis ◽  
Electricity Consumption ◽  
Consumption Pattern ◽  
Similarity Function ◽  
Typical Pattern ◽  
Audio Feature ◽  
Load Pattern ◽  
Grid Applications

The smart grid is an important application field of the Internet of things. This paper presents a method of user electricity consumption pattern analysis for smart grid applications based on the audio feature EEUPC. A novel similarity function based on EEUPC is adapted to support clustering analysis of residential load patterns. The EEUPC similarity exploits features of peaks and valleys on curves instead of directly comparing values and obtains better performance for clustering analysis. Moreover, the proposed approach performs load pattern clustering, extracts a typical pattern for each cluster, and gives suggestions toward better power consumption for each typical pattern. Experimental results demonstrate that the EEUPC similarity is more consistent with human judgment than the Euclidean distance and higher clustering performance can be achieved for residential electric load data.

scholarly journals Typical Power Load Profiles Shape Clustering Analysis Based on Adaptive Piecewise Aggregate Approximation

2018 ◽  
Vol 366 ◽  
pp. 012078 ◽  
Author(s):  
Quan Tang ◽  
Quanming Zhang ◽  
Yingying Deng ◽  
Mi Zhu ◽  
Yunche Su ◽  
...  
Keyword(s):  
Clustering Analysis ◽  
Power Load ◽  
Shape Clustering

Residential Load Pattern Analysis for Smart Grid Applications Based on Audio Feature EEUPC

2011 ◽  
Vol 3 (2) ◽  
pp. 39-53 ◽  
Author(s):  
Yunzhi Wang ◽  
Xiangdong Wang ◽  
Yueliang Qian ◽  
Haiyong Luo ◽  
Fujiang Ge ◽  
...  
Keyword(s):  
Smart Grid ◽  
Clustering Analysis ◽  
Pattern Analysis ◽  
Consumption Pattern ◽  
Similarity Function ◽  
Typical Pattern ◽  
Pattern Clustering ◽  
Audio Feature ◽  
Load Pattern ◽  
Grid Applications

The smart grid is an important application field of the Internet of things. This paper presents a method of user electricity consumption pattern analysis for smart grid applications based on the audio feature EEUPC. A novel similarity function based on EEUPC is adapted to support clustering analysis of residential load patterns. The EEUPC similarity exploits features of peaks and valleys on curves instead of directly comparing values and obtains better performance for clustering analysis. Moreover, the proposed approach performs load pattern clustering, extracts a typical pattern for each cluster, and gives suggestions toward better power consumption for each typical pattern. Experimental results demonstrate that the EEUPC similarity is more consistent with human judgment than the Euclidean distance and higher clustering performance can be achieved for residential electric load data.

2249-PUB: Clustering Analysis as a Tool to Define Endotypes in Type 1 Diabetes (T1D)

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 2249-PUB
Author(s):  
ALEJANDRO F. SILLER ◽  
XIANGJUN GU ◽  
MUSTAFA TOSUR ◽  
MARCELA ASTUDILLO ◽  
ASHOK BALASUBRAMANYAM ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Clustering Analysis

A Level Inference Method for Aggregated Information of Objects Based on Clustering Analysis

2012 ◽  
Vol 34 (6) ◽  
pp. 1432-1437 ◽  
Author(s):  
Li-feng Cao ◽  
Xing-yuan Chen ◽  
Xue-hui Du ◽  
Chun-tao Xia
Keyword(s):  
Clustering Analysis ◽  
Inference Method
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