Differential customer responsiveness to time-of-use tariffs

Qiuyang Ma, Ran Li, Furong Li

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

Abstract

As an effective tool in Demand-Side Response (DSR) programmes, the 'Time-Of-Use' (TOU) tariff stimulates customers to modify their usage behaviour. However, there are considerable deviations in responsiveness among different customers, even to the same TOU tariff. There are two drawbacks in the existing analyses: 1) customers' psychological features are omitted, i.e. the willingness to respond; 2) the interaction effect among features, which describe the load and socio-economic characteristics, are ignored. Therefore, this paper proposes an interaction-aware framework to identify the significant psychological, socio-economic and load criteria to evaluate customers' responsiveness to different TOU tariffs. The results find that the significant characteristics of the more responsive customers include: smooth load profiles, high consumption levels overnight, large family size. A significant psychological feature interacted with load features demonstrates that customers with lower confidence in load-reduction activities also can successfully respond, as long as their load consumption is small.

Original languageEnglish
Title of host publication2020 IEEE Power and Energy Society General Meeting, PESGM 2020
PublisherIEEE
ISBN (Electronic)9781728155081
DOIs
Publication statusPublished - 16 Dec 2020
Event2020 IEEE Power and Energy Society General Meeting, PESGM 2020 - Montreal, Canada
Duration: 2 Aug 20206 Aug 2020

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2020-August
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2020 IEEE Power and Energy Society General Meeting, PESGM 2020
Country/TerritoryCanada
CityMontreal
Period2/08/206/08/20

Keywords

  • Demand-Side Response
  • Interaction effect
  • Responsiveness
  • Smart metering data
  • Socioeconomic data analytic

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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