Article citationsMore>>

P. Compieta, S. Di Martino, M. Bertolotto, F. Ferrucci and T. Kechadi, “Exploratory Spatio-Temporal Data Mining and Visualization,” Journal of Visual Languages & Computing, Vol. 18, No. 3, 2007, pp. 255-279. doi:10.1016/j.jvlc.2007.02.006

has been cited by the following article:

• TITLE: Visualization Techniques in Smart Grid

  AUTHORS: Dao Viet Nga, Ong Hang See, Do Nguyet Quang, Chee Yung Xuen, Lai Lee Chee

  KEYWORDS: Smart Grid; Visualization Techniques; Google Earth; GIS; QGIS, AMI; SCADA; Spatial; Temporal; Animation

  JOURNAL NAME: Smart Grid and Renewable Energy, Vol.3 No.3, August 31, 2012

  ABSTRACT: Visualization is an established methodology in scientific computing. It has been used in many fields because of its strong capability in large data management and information display. However, its applications in power systems, especially in Smart Grid are still in infancy stage. Besides, while there were a lot of researches working on visualizing data in transmission power system, the study on displaying distribution power system data was limited. Therefore, in this paper, author proposed some techniques to visualize the Smart Grid data at distribution. They are classified in three categories, which are low dimensional techniques, multivariate high dimensional techniques and Geographical Information System (GIS) techniques.