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EconStor
Research . 2003
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How to quantify household electricity end-use consumption

Authors: Bodil M. Larsen; Runa Nesbakken;

How to quantify household electricity end-use consumption

Abstract

Abstract: 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. Keywords: Electricity end-use consumption, econometric conditional demand model, engineering model.

Country
Norway
Related Organizations
Keywords

Q40, JEL classification: D12, ddc:330, Engineering model, JEL classification: Q40, Electricity consumption, engineering model., econometric conditional demand model, C51, Electricity end-use consumption; econometric conditional demand model; engineering model., Electricity end-use consumption, VDP::Social science: 200::Economics: 210::Economics: 212, D12, JEL classification: C51, Norwegian energy survey, Household consumption, jel: jel:C51, jel: jel:D12, jel: jel:Q40

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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