• DocumentCode
    3729932
  • Title

    Electricity price forecasting using a fuzzy system tuned with a Differential Evolution algorithm

  • Author

    Ivan Ria?o;Oscar E. Perdomo

  • Author_Institution
    ?caro Soluciones A?reas, Bogot?, Colombia
  • fYear
    2015
  • Firstpage
    792
  • Lastpage
    795
  • Abstract
    In this paper we present a method which forecast the price of the kW/h for the next hour, this method was developed with an Expansion of Fuzzy Basis Functions (EFBF) and tuned with Differential Evolution (DE) algorithm. It shows a comparison of the validation results for the better individuals when varying the value of two parameters of DE and one parameter of the EFBD. Historical data were supplied by the Company XM belonging to ISA Group.
  • Keywords
    "Predictive models","Fuzzy systems","Standards","Smart grids","Forecasting","Training","Biological cells"
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies Latin America (ISGT LATAM), 2015 IEEE PES
  • Type

    conf

  • DOI
    10.1109/ISGT-LA.2015.7381256
  • Filename
    7381256
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3729932