A Disaggregated Nonhomothetic Modeling of Responsiveness to Residential Time-of-Use Electricity Rates

In addition to quantifying the load impacts of time-differentiated rates on aggregate peak, off-peak groupings, a very finely disaggregated.Rotterdam demand system is described and estimated for explaining changes in detailed features of customers' electricity load patterns. This linear first difference formulation allows for nonhomotheticity, permits an examination of load impacts on critical hours of the week, and makes use of both control and time-of-use data. Moreover, the proposed specification is parameter parsimonious. An illustrative use of this model is portrayed through recent empirical evidence from a residential experiment of a northern winter-peaking utility in Ontario, Canada. Copyright 1992 by Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.

[1]  Khalifa Ghali,et al.  Self-Selection in the Residential Electricity Time-of-Use Pricing Experiments , 1989 .

[2]  Dean C. Mountain,et al.  The Rotterdam Model: An Approximation in Variable Space , 1988 .

[3]  Douglas W. Caves,et al.  Consistency of residential customer response in time-of-use electricity pricing experiments , 1984 .

[4]  R. Parks,et al.  Measuring the consumer welfare effects of time-differentiated electricity prices , 1984 .

[5]  Douglas W. Caves,et al.  A comparison of different methodologies in a case study of residential time-of-use electricity pricing: Cost–Benefit Analysis☆ , 1984 .

[6]  Bridger M. Mitchell,et al.  Response to Residential Time-Of-Use Electricity Rates: How Transferable Are the Findings? , 1984 .

[7]  Dennis J. Aigner,et al.  Measuring Peak Load Pricing Response from Experimental Data: An Exploratory Analysis , 1984 .

[8]  B. M. Mitchell,et al.  Welfare Analysis of Electricity Rate Changes , 1983 .

[9]  B. M. Mitchell,et al.  Electricity Consumption by Time of Use in a Hybrid Demand System , 1983 .

[10]  S. Atkinson.  Reshaping residential electricity load curves through time-of-use pricing , 1981 .

[11]  D. W. Caves,et al.  Residential Substitution of Off-peak for Peak Electricity Usage under Time-of-Use Pricing , 1980 .

[12]  Jerry A. Hausman,et al.  Correcting for Truncation Bias in the Analysis of Experiments in Time-of-Day Pricing of Electricity , 1980 .

[13]  J. Hausmann,et al.  A two-level electricity demand model: Evaluation of the connecticut time-of-day pricing test , 1979 .

[14]  R. Koenker,et al.  Residential demand for electricity : An econometric approach , 1979 .

[15]  Clive W. J. Granger,et al.  Residential load curves and time-of-day pricing: An econometric analysis , 1979 .

[16]  Bridger M. Mitchell,et al.  Residential demand for electricity in Los Angeles: an econometric study of disaggregated data , 1976 .

[17]  R. F. Gilbert,et al.  Small Sample Properties of Alternative Estimators of Seemingly Unrelated Regressions , 1968 .

[18]  A. P. Barten.  Theorie en empirie van een volledig stelsel van vraagvergelijkingen , 1966 .

[19]  H. Theil.  The Information Approach to Demand Analysis , 1965 .