Comparative Analysis of Power Consumption in University Buildings Using envSOM

  • Serafín Alonso
  • Manuel Domínguez
  • Miguel Angel Prada
  • Mika Sulkava
  • Jaakko Hollmén
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7014)


Analyzing power consumption is important for economic and environmental reasons. Through the analysis of electrical variables, power could be saved and, therefore, better energy efficiency could be reached in buildings. The application of advanced data analysis helps to provide a better understanding, especially if it enables a joint and comparative analysis of different buildings which are influenced by common environmental conditions. In this paper, we present an approach to monitor and compare electrical consumption profiles of several buildings from the Campus of the University of León. The envSOM algorithm, a modification of the self-organizing map (SOM), is used to reduce the dimension of data and capture their electrical behaviors conditioned on the environment. After that, a Sammon’s mapping is used to visualize global, component-wise or environmentally conditioned similarities among the buildings. Finally, a clustering step based on k-means algorithm is performed to discover groups of buildings with similar electrical behavior.


Power consumption Environmental conditions Data mining Exploratory analysis Self-Organizing Maps envSOM Sammon’s mapping k-means 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Serafín Alonso
    • 1
  • Manuel Domínguez
    • 1
  • Miguel Angel Prada
    • 1
  • Mika Sulkava
    • 2
  • Jaakko Hollmén
    • 2
  1. 1.Grupo de Investigación SUPPRESSUniversidad de LeónLeónSpain
  2. 2.Department of Information and Computer ScienceAalto University School of ScienceEspooFinland

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