How to quantify household electricity end-use consumption
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.
|Date of creation:||Mar 2003|
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- 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 315-326, July.
- Hsiao, C. & Mountain, D.C. & Ho, C.F., 1994. "A Bayesian Integration of End-Use Metering and Conditional Demand Analysis," Papers 9411, Southern California - Department of Economics.
- Bauwens, Luc & Fiebig, Denzil G & Steel, Mark F J, 1994. "Estimating End-Use Demand: A Bayesian Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(2), pages 221-231, April.
- Bauwens, L. & Fiebig, D. G. & Steel, M. F. J., "undated". "Estimating End-use Demand: a Bayesian Approach," CORE Discussion Papers RP 1090, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- BAUWENS, Luc & FIEBIG, Denzil & STEEL, Mark, 1992. "Estimating End-Use Demand : A Bayesian Approach," CORE Discussion Papers 1992052, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Steel, Mark F.J. & Fiebig, Denzil G. & Bauwens, Luc, 1992. "Estimating end-use demand: A Bayesian approach," UC3M Working papers. Economics 2839, Universidad Carlos III de Madrid. Departamento de Economía.
- Robert Bartels & G. Fiebig, 1990. "Integrating Direct Metering and Conditional Demand Analysis for Estimating End-Use Loads," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 79-98.
- 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.
- Bartels, R. & Fiebig, D., 1990. "Integrating Direct Metering and Conditional Demand Analysis for Estimating End-Use Loads," Discussion Paper 1990-56, Tilburg University, Center for Economic Research.
- 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.
- 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.
- 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. Full references (including those not matched with items on IDEAS)
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