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Influencing domestic customers' market behavior with time flexible tariffs

Authors: Dirk Westermann; Mike Ifland; Nicola Döring; N. Exner;

Influencing domestic customers' market behavior with time flexible tariffs

Abstract

For domestic customers the tariff structure for purchasing electrical energy has emerged rapidly with the broad deployment of smart metering. Yet, most market retailers are uncertain, which products address consumers most, since the market for electricity is known to have little elasticity. This publication presents the final analysis on the RESIDENS field trail and reports on the consequences of introducing a Time-of Use Tariff to an existing market. The findings are derived from real load profiles and demonstrate the possibility and willingness of domestic customers to align their consumption behavior to external requirements. A market segmentation has been carried out to show how different types of customers react to ToU-tariffs. Finally, the price elasticity was analyzed, before and after applying a ToU-tariff. This publication profits due to its interdisciplinary character both from social and power engineering knowledge.

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    5
    popularity
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    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average