Targeting customers for an optimized energy procurement

A Cost Segmentation Based on Smart Meter Load Profiles
  • Simon AlbrechtEmail author
  • Manuel Fritz
  • Jens Strüker
  • Holger Ziekow
Special Issue Paper


This research paper investigates consumer-specific costs on power spot markets. We use real-world smart meter data and market prices to analyze an energy procurement strategy based on the newsvendor model. The outcome displays a segmentation into an ordinal array of different costs-per-customer, which allow for a sensitivity analysis to examine appropriate measures and policy implications. We find the most relevant customer class to be the costliest one percent. These prime targets’ share of total costs is 1.5 times as high as the respective share of total consumption. Reallocating the targets into incentive based contracts may allow for a significant reduction of utilities’ costs while remaining on a relatively steady service provision level.


Costs-per-customer Smart metering Customer segmentation Load profile analysis Load forecasting 



We would like to thank the Commission for Energy Regulation and the Irish Social Science Data Archive for the collection and provision of the used data.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Simon Albrecht
    • 1
    Email author
  • Manuel Fritz
    • 2
  • Jens Strüker
    • 1
  • Holger Ziekow
    • 2
  1. 1.Institute for Energy Economics (INEWI)Fresenius University of Applied SciencesFrankfurt am MainGermany
  2. 2.University of Applied Sciences FurtwangenFurtwangen im SchwarzwaldGermany

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