• DocumentCode
    2387879
  • Title

    Load forecasting and demand response

  • Author

    Luh, Peter B. ; Michel, Laurent D. ; Friedland, Peter ; Guan, Che ; Wang, Yuting

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Connecticut, Storrs, CT, USA
  • fYear
    2010
  • fDate
    25-29 July 2010
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Demand response is a reduction in the consumption of electricity by customers from their expected consumption in response to reliability or price triggered signals. Enabled by advanced metering infrastructure and other smart grid technologies, it is expected to be a crucial mechanism to compensate system uncertainties and the associated risks including those related to intermittent renewable generation such as wind or solar. In this paper, challenges associated with load forecasting and demand response are discussed. To address the challenges, our key ideas are to (1) forecast load together with corresponding confidence intervals having additional price-related input variables; and (2) use online stochastic optimization together with very-short-term load forecasting results to find effective and robust solutions to manage both dispatchable and non-dispatchable demand response.
  • Keywords
    load forecasting; stochastic programming; advanced metering infrastructure; dispatchable demand response; intermittent renewable generation; load forecasting; nondispatchable demand response; online stochastic optimization; price triggered signals; price-related input variables; smart grid technologies; solar; wind; Load forecasting; advanced metering infrastructure; demand response; multi-level wavelet neural network methods; online stochastic optimization; smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2010 IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4244-6549-1
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PES.2010.5590062
  • Filename
    5590062