• DocumentCode
    150999
  • Title

    Design of strategic information in the deregulated Indian power market: An agent-based approach

  • Author

    Mohan, V. ; Madhu, Nilesh ; Ongsakul, Weerakorn ; Singh, Jai Govind ; Reshma Suresh, M.P.

  • Author_Institution
    Sch. of Environ., Resources & Dev., Asian Inst. of Technol., Pathumthani, Thailand
  • fYear
    2014
  • fDate
    19-21 March 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper primarily focuses on formulating an agent based model covering the financial and transactional aspects of deregulated Indian power markets which goes in hand with the legal system of the regulator. It proposes an information system which helps the agents of a power market to take decisions in making better bids and participate in the day ahead markets. A price forecasting engine based on ANN, whose input is adapted using Rough set theory is implemented for Genco and Distco.
  • Keywords
    power markets; rough set theory; day ahead markets; deregulated power market; price forecasting engine; rough set theory; strategic information; Artificial neural networks; Electricity; Fuels; Generators; Heating; Power markets; Set theory; Agents; MCP; bid matching; rough set theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Energy for Sustainable Development (ICUE), 2014 International Conference and Utility Exhibition on
  • Conference_Location
    Pattaya
  • Print_ISBN
    978-1-4799-2628-2
  • Type

    conf

  • Filename
    6828983