Clustering Techniques in Load Characteristic Analysis

Tao Xu; Shi Yu Zhang; Xiao Xue Wang; Tian Chu Li; Jun Lin; Jing Sheng Chen; Jian Hua Zhou

doi:10.4028/www.scientific.net/AMM.785.68

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 785Clustering Techniques in Load Characteristic...

Clustering Techniques in Load Characteristic Analysis

Abstract:

Today, load characteristic analysis plays a vital role in network planning, operation and control. In particular, with massive demand side participation activities on the network, the characteristics of individual load determines the way of the active load management as well as the network pricing strategies. In this paper, the load characteristics are analyzed utilizing clustering techniques for a tropical isle with massive temperature sensitive loads. Through deeply mining of real data, the features of individual loads were observed to define the way of load participation.

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Periodical:

Applied Mechanics and Materials (Volume 785)

Pages:

68-72

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.785.68

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Online since:

August 2015

Authors:

Tao Xu, Shi Yu Zhang*, Xiao Xue Wang, Tian Chu Li, Jun Lin, Jing Sheng Chen, Jian Hua Zhou

Keywords:

Cluster Analysis, Demand Side Participation, Load Characteristics Analysis, Temperature Sensitive Load

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