• DocumentCode
    3653248
  • Title

    Cable tunnel thermal rating prediction using support vector regression

  • Author

    R. Huang;J. A. Pilgrim;P. L. Lewin;D. Scott;D. Morrice

  • Author_Institution
    School of Electronics and Computer Science, University of Southampton, Southampton, UK
  • fYear
    2014
  • fDate
    7/1/2014 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    As transmission grids worldwide adapt to changes in both generation and demand, increasing emphasis is being placed on calculating accurate cable current ratings. This paper outlines a method for predictive cable ratings based on a Support Vector Regression method. The method is applied to the rating of a cable tunnel system, with the results of predicted conditions compared against system data.
  • Keywords
    "Load modeling","Power cables","Cable shielding","Predictive models","Training","Data models","Thermal resistance"
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems (PMAPS), 2014 International Conference on
  • Type

    conf

  • DOI
    10.1109/PMAPS.2014.6960629
  • Filename
    6960629
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3653248