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How to quantify household electricity end-use consumption

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    Information about total electricity consumption is available for most households. However, the electricity consumption related to different end uses, e.g. space heating, water heating, lighting and services from household appliances are usually not metered. Metering data are very costly to achieve, and in this paper we study two methods for end-use estimation, which can be applied on household data for appliance holdings, demographic and economic variables. The first method is the engineering model which has been used to calculate the so far only documented Norwegian end-use results applied on data from a Norwegian energy survey. The second method is an econometric conditional demand model applied on data from the same survey. We compare the numerical results from the two models and give some recommendations regarding choice of end-use approach and what questions to implement in household surveys designed to disaggregate electricity consumption.

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    File URL: http://www.ssb.no/a/publikasjoner/pdf/DP/dp346.pdf
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    Paper provided by Research Department of Statistics Norway in its series Discussion Papers with number 346.

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    Date of creation: Mar 2003
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    Handle: RePEc:ssb:dispap:346
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    1. Bauwens, L. & Fiebig, D. G. & Steel, M. F. J., . "Estimating End-use Demand: a Bayesian Approach," CORE Discussion Papers RP -1090, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Dennis J. Aigner & Cynts Sorooshian & Pamela Kerwin, 1984. "Conditional Demand Analysis for Estimating Residential End-Use Load Profiles," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 81-98.
    3. Robert Bartels & Denzil G. Fiebig, 2000. "Residential End-Use Electricity Demand: Results from a Designed Experiment," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 51-81.
    4. repec:dgr:kubcen:199056 is not listed on IDEAS
    5. Bartels, R. & Fiebig, D.G., 1990. "Integrating Direct Metering And Conditional Demand Analysis Fr Estimating End-Use Loads," Papers 9056, Tilburg - Center for Economic Research.
    6. Hsiao, Cheng & Mountain, Dean C & Illman, Kathleen Ho, 1995. "A Bayesian Integration of End-Use Metering and Conditional-Demand Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 315-26, July.
    7. Sanchez, Marla C & Koomey, Jonathan G & Moezzi, Mithra M & Meier, Alan & Huber, Wolfgang, 1998. "Miscellaneous electricity in US homes: Historical decomposition and future trends," Energy Policy, Elsevier, vol. 26(8), pages 585-593, July.
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