IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v54y1996i3p199-210.html
   My bibliography  Save this article

Parametrisation of domestic load profiles

Author

Listed:
  • Riddell, A. G.
  • Manson, K.

Abstract

As part of a study to determine the factors influencing the power usage patterns of domestic consumers, electrical loads have been logged at half- and quarter-hourly intervals for several months. This enables the production of hundreds of daily load profiles, the shapes of which can be analysed with respect to various attributes of the consumers. However, in order to carry out such an analysis, it is necessary to find a numerical representation of a load shape. It is found that the most suitable means of doing so is to calculate Fourier series approximations to the profiles, and use the coefficients of the series to represent the profile shapes.

Suggested Citation

  • Riddell, A. G. & Manson, K., 1996. "Parametrisation of domestic load profiles," Applied Energy, Elsevier, vol. 54(3), pages 199-210, July.
    • Handle: RePEc:eee:appene:v:54:y:1996:i:3:p:199-210
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0306-2619(95)00075-5
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. McLoughlin, Fintan & Duffy, Aidan & Conlon, Michael, 2015. "A clustering approach to domestic electricity load profile characterisation using smart metering data," Applied Energy, Elsevier, vol. 141(C), pages 190-199.
    2. Akito Ozawa & Ryota Furusato & Yoshikuni Yoshida, 2017. "Tailor-Made Feedback to Reduce Residential Electricity Consumption: The Effect of Information on Household Lifestyle in Japan," Sustainability, MDPI, vol. 9(4), pages 1-23, March.
    3. Andersen, Frits Møller & Baldini, Mattia & Hansen, Lars Gårn & Jensen, Carsten Lynge, 2017. "Households’ hourly electricity consumption and peak demand in Denmark," Applied Energy, Elsevier, vol. 208(C), pages 607-619.
    4. Marek Brabec & Ondřej Konár & Marek Malý & Emil Pelikán & Jiří Vondráček, 2009. "A statistical model for natural gas standardized load profiles," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(1), pages 123-139, February.
    5. McLoughlin, Fintan & Duffy, Aidan & Conlon, Michael, 2013. "Evaluation of time series techniques to characterise domestic electricity demand," Energy, Elsevier, vol. 50(C), pages 120-130.
    6. M. Brabec & O. Kon�r & M. Malý & I. Kasanický & E. Pelik�n, 2015. "Statistical models for disaggregation and reaggregation of natural gas consumption data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(5), pages 921-937, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:54:y:1996:i:3:p:199-210. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.