Residential end-use electricity demand. Development over time
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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.
- Robert Bartels & Denzil G. Fiebig, 1990.
"Integrating Direct Metering and Conditional Demand Analysis for Estimating End-Use Loads,"
The Energy Journal, , vol. 11(4), pages 79-98, October.
- 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," Other publications TiSEM eeac5253-bbf9-4ae2-bf14-e, Tilburg University, School of Economics and Management.
- 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.
- 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, Luc & FIEBIG, Denzil & STEEL, Mark, 1992. "Estimating End-Use Demand : A Bayesian Approach," LIDAM Discussion Papers CORE 1992052, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Bauwens, L. & Fiebig, D. G. & Steel, M. F. J., 1994. "Estimating End-use Demand: a Bayesian Approach," LIDAM Reprints CORE 1090, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Bauwens, Luc & Fiebig, Denzil G. & Steel, Mark F.J., 1992. "Estimating end-use demand: A Bayesian approach," UC3M Working papers. Economics 2839, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- 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, , vol. 21(2), pages 51-81, April.
- 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.
- Larsen, Bodil Merethe & Nesbakken, Runa, 2004. "Household electricity end-use consumption: results from econometric and engineering models," Energy Economics, Elsevier, vol. 26(2), pages 179-200, March.
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More about this item
Keywords
Energy end-use consumption over time; Econometric conditional demand model;JEL classification:
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ENE-2013-10-25 (Energy Economics)
- NEP-REG-2013-10-25 (Regulation)
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