@inproceedings{89f4d70fb2734cabb9a9690e3d6af38d,
title = "A Novel Visualization Method of Power Transmission Lines",
abstract = "Visualization plays an important role in the analysis of grid circuit topological structure. The traditional line visualization method based on geographical position usually contains such problems that the nodes density distribution is uneven and the lines are too complex to understand. Some other methods completely neglect the real geographic location information. In this paper, we propose a new visualization method by adjustment of the nodes' location and optimization of drawing lines. Initially, the scheduling substation node is designed as the central node, the other nodes are divides into different groups by k-means++ cluster algorithm. Next, the location of the nodes is adjusted and optimized after clustering, and the data density is balanced. Finally, the nodes are connected with the colored lines of ring or radial structure. Experimental results show that our visualization method can more clearly show the topological structure of the current power transmission lines and retain the main geographical location information.",
keywords = "geographic, lines, visualization",
author = "Shuwei Pei and Xiaofu Huang and Bin Sheng and Lizhuang Ma and Dan Wu and Ping Li",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 1st IEEE International Conference on Multimedia Big Data, BigMM 2015 ; Conference date: 20-04-2015 Through 22-04-2015",
year = "2015",
month = jul,
day = "9",
doi = "10.1109/BigMM.2015.11",
language = "英语",
series = "Proceedings - 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "358--361",
booktitle = "Proceedings - 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015",
address = "美国",
}