Integrating Direct Metering And Conditional Demand Analysis Fr Estimating End-Use Loads
AbstractConditional demand analysis (CDA) is a statistical method for allocating the total household electricity load during a period, into its constituent components, each associated with a particular electricity-using appliance or end-use. This is an indirect approach to the estimation of end-use demand and, quite naturally, it often generates imprecise estimates. One of the possible methods for improving these estimates involves the incorporation of data obtained by directly metering specific appliances. It is argued that an extremely natural approach to the use of this extra information follows directly from a reformulation of the standard CDA model into a random coefficient framework Some new results on the possible efficiency gains from such an approach are developed. Illustrations based on an empirical study of New South Wales (NSW) households are also provided.
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Bibliographic InfoPaper provided by Tilburg - Center for Economic Research in its series Papers with number 9056.
Length: 21 pages
Date of creation: 1990
Date of revision:
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estimator ; demand ; electricity;
Other versions of this item:
- 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., 1990. "Integrating Direct Metering and Conditional Demand Analysis for Estimating End-Use Loads," Discussion Paper 1990-56, Tilburg University, Center for Economic Research.
- F0 - International Economics - - General
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- Hanne Marit Dalen & Bodil M. Larsen, 2013. "Residential end-use electricity demand. Development over time," Discussion Papers 736, Research Department of Statistics Norway.
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