IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v20y1995i9p897-906.html
   My bibliography  Save this article

Customer level analysis of dynamic pricing experiments using consumption-pattern models

Author

Listed:
  • Räsänen, Mika
  • Ruusunen, Jukka
  • Hämäläinen, Raimo P.

Abstract

In the development of new tariffs, customer diversity should be taken into account to achieve more efficient demand-side management goals. This means that customers' reactions to rate changes need to be analysed at an individual customer level. We use daily consumption pattern (DCP) models for the analysis of rate effects. The DCP is assumed to consist of the daily rhythm of consumption, the effects of outdoor temperature on consumption and random variations. The models are tested with data from a Finnish dynamic pricing experiment. We show how the models are used for grouping of customers according to their DCPs and for estimating the customers' price responses to different rates. The results verify that customer-level load analysis is required, since the effects of rate changes on the DCP can vary considerably from one customer to another.

Suggested Citation

  • Räsänen, Mika & Ruusunen, Jukka & Hämäläinen, Raimo P., 1995. "Customer level analysis of dynamic pricing experiments using consumption-pattern models," Energy, Elsevier, vol. 20(9), pages 897-906.
    • Handle: RePEc:eee:energy:v:20:y:1995:i:9:p:897-906
    DOI: 10.1016/0360-5442(95)00029-G
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/036054429500029G
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/0360-5442(95)00029-G?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    2. Keppo, Jussi & Rasanen, Mika, 1999. "Pricing of electricity tariffs in competitive markets," Energy Economics, Elsevier, vol. 21(3), pages 213-223, June.
    3. Christensen, Toke Haunstrup & Friis, Freja & Bettin, Steffen & Throndsen, William & Ornetzeder, Michael & Skjølsvold, Tomas Moe & Ryghaug, Marianne, 2020. "The role of competences, engagement, and devices in configuring the impact of prices in energy demand response: Findings from three smart energy pilots with households," Energy Policy, Elsevier, vol. 137(C).
    4. Römer, Benedikt & Reichhart, Philipp & Kranz, Johann & Picot, Arnold, 2012. "The role of smart metering and decentralized electricity storage for smart grids: The importance of positive externalities," Energy Policy, Elsevier, vol. 50(C), pages 486-495.
    5. Hamalainen, Raimo P. & Mantysaari, Juha, 2002. "Dynamic multi-objective heating optimization," European Journal of Operational Research, Elsevier, vol. 142(1), pages 1-15, October.
    6. Bradley, Peter & Coke, Alexia & Leach, Matthew, 2016. "Financial incentive approaches for reducing peak electricity demand, experience from pilot trials with a UK energy provider," Energy Policy, Elsevier, vol. 98(C), pages 108-120.
    7. Lund, Peter D. & Lindgren, Juuso & Mikkola, Jani & Salpakari, Jyri, 2015. "Review of energy system flexibility measures to enable high levels of variable renewable electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 785-807.
    8. Rasanen, Mika & Ruusunen, Jukka & Hamalainen, Raimo P., 1997. "Optimal tariff design under consumer self-selection," Energy Economics, Elsevier, vol. 19(2), pages 151-167, May.
    9. Hämäläinen, Raimo P & Mäntysaari, Juha & Ruusunen, Jukka & Pierre-Olivier Pineau,, 2000. "Cooperative consumers in a deregulated electricity market — dynamic consumption strategies and price coordination," Energy, Elsevier, vol. 25(9), pages 857-875.

    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:energy:v:20:y:1995:i:9:p:897-906. 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.journals.elsevier.com/energy .

    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.