• DocumentCode
    2469805
  • Title

    Chopping off peak demand using DLS technique — Formulating an intelligent technique for load identification

  • Author

    Sil, Arindam Kumar ; Deb, N.K. ; Maitra, Ashok Kumar ; Sen, Poly Sil

  • Author_Institution
    Dept of Electr. Eng., Jadavpur Univ. Kolkata, Kolkata, India
  • fYear
    2010
  • fDate
    14-17 March 2010
  • Firstpage
    909
  • Lastpage
    913
  • Abstract
    This paper identifies electrical load which are brought under DLS technique in order to use effectively for judicious scheduling of loads for chopping off peak load demand. In general an analysis is made on loads, their type, and to suggest how to schedule these loads for an entire day and thereby chopping the peak load demand. The present paper approaches for a problem formulation which helps in timely decision making for those who will be using this technique for chopping peak load demand. This paper analyses on different loads and thereafter gives a decision for those loads that are to be included for DLS technique application and hence reduce the peak demand on a very short span of time. The entire decision making technique is governed by Artificial Intelligent method. This method helps in reduction of peak demand.
  • Keywords
    artificial intelligence; power consumption; power engineering computing; scheduling; DLS technique; artificial intelligent method; day light saving technique; decision making technique; intelligent technique; load identification scheduling; peak load demand chopping; Artificial intelligence; Bayesian methods; Clocks; Decision making; Fuzzy logic; Job shop scheduling; Springs; Sun; DLS technique; Energy planning; Fuzzy logic; Peak load; Problem formulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology (ICIT), 2010 IEEE International Conference on
  • Conference_Location
    Vi a del Mar
  • Print_ISBN
    978-1-4244-5695-6
  • Electronic_ISBN
    978-1-4244-5696-3
  • Type

    conf

  • DOI
    10.1109/ICIT.2010.5472569
  • Filename
    5472569