• DocumentCode
    3574265
  • Title

    Modeling and prediction of India´s electricity demand using fuzzy logic

  • Author

    Saravanan, S. ; Kannan, S. ; Nithya, R. ; Thangaraj, C.

  • Author_Institution
    EEE, Kalasalingam Univ., Krishnankoil, India
  • fYear
    2014
  • Firstpage
    93
  • Lastpage
    96
  • Abstract
    Forecasting of electricity demand is an important task for the planning and operation of power systems. The objective of this study is, to predict the electricity demand for India using Fuzzy Logic (FL). A set of 64 `if-then´ rules are used in accordance with FL method to develop an intelligent predicting model. Per capita GDP, population, import and export are taken as input variables and electricity demand is the predicted output. The output values are much closer to the actual values with minimum error. The results are validated using 18th power survey report.
  • Keywords
    fuzzy logic; load forecasting; power system planning; FL method; India; electricity demand; fuzzy logic; gross domestic product; intelligent predicting model; per capita GDP; power survey report; power systems; Economic indicators; Electricity; Forecasting; Fuzzy logic; Predictive models; Sociology; Statistics; Fuzzy logic; GDP; India; imports; load forecasting; population; prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuit, Power and Computing Technologies (ICCPCT), 2014 International Conference on
  • Print_ISBN
    978-1-4799-2395-3
  • Type

    conf

  • DOI
    10.1109/ICCPCT.2014.7054813
  • Filename
    7054813