TY - GEN
T1 - Differential customer responsiveness to time-of-use tariffs
AU - Ma, Qiuyang
AU - Li, Ran
AU - Li, Furong
PY - 2020/12/16
Y1 - 2020/12/16
N2 - 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.
AB - 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.
KW - Demand-Side Response
KW - Interaction effect
KW - Responsiveness
KW - Smart metering data
KW - Socioeconomic data analytic
UR - http://www.scopus.com/inward/record.url?scp=85099160762&partnerID=8YFLogxK
U2 - 10.1109/PESGM41954.2020.9281877
DO - 10.1109/PESGM41954.2020.9281877
M3 - Chapter in a published conference proceeding
AN - SCOPUS:85099160762
T3 - IEEE Power and Energy Society General Meeting
BT - 2020 IEEE Power and Energy Society General Meeting, PESGM 2020
PB - IEEE
T2 - 2020 IEEE Power and Energy Society General Meeting, PESGM 2020
Y2 - 2 August 2020 through 6 August 2020
ER -