• DocumentCode
    2342960
  • Title

    Application of ANN and DSM techniques for peak load management a case study

  • Author

    Babu, P. Ravi ; Divya, V. P Sree

  • Author_Institution
    EEE Dept., CVR Coll. of Eng., Hyderabad
  • fYear
    2008
  • fDate
    24-27 Nov. 2008
  • Firstpage
    384
  • Lastpage
    388
  • Abstract
    The resources for electrical energy are depleting and hence the gap between the supply and the demand is continuously increasing. Under such circumstances, the option left is optimal utilization of available energy resources. To overcome this problem recently, a concept of demand side management (DSM) has emerged in power system planning and management. The main idea of DSM is to discuss the mutual benefits between supplier and consumer for maximum benefits and minimum inconvenience. The work presented in this paper gives the results of application of neural network and DSM techniques applied to Nandi milk industry in India. The study indicates the improvement in energy efficiency of the system in terms of load factor, in addition the consumer also gets saving or reduction in the energy bill due to lowering of maximum demand (MD).
  • Keywords
    electricity supply industry; neural nets; power engineering computing; power system planning; demand side management; energy resources; maximum demand; neural network; peak load management; power system planning; Artificial neural networks; Electricity supply industry; Energy consumption; Energy management; Load management; Load modeling; Neural networks; Power system management; Power system modeling; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Energy Technologies, 2008. ICSET 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1887-9
  • Electronic_ISBN
    978-1-4244-1888-6
  • Type

    conf

  • DOI
    10.1109/ICSET.2008.4747037
  • Filename
    4747037