Residential End-Use Electricity Demand: Results from a Designed Experiment
Being able to disaggregate total energy demand into components attributable to specific end uses provides useful information and represents a primary input into any attempt to simulate the impact of policies aimed at encouraging households to use less energy or shift load. Conceptually the estimation problem can be solved by directly metering individual appliances. Not surprisingly, this has not been widely practised and by far the most common estimation procedure has been the indirect statistical approach known as conditional demand analysis. More recently, with access to limited direct metering, both approaches have been used in combination. This paper reports on a substantial modelling exercise that represents a unique example of combining data of this type. The distinctive aspects are the extent and richness of the metering data and the fact that optimal design techniques were used to decide on the pattern of metering. As such, the empirical results are able to provide a very detailed and accurate picture of how total residential load is disaggregated by end uses. Significantly, the consumption of high penetration end uses such as lighting, which cannot be estimated by conventional conditional demand analysis, has been successfully estimated. Also, by matching our estimates of end-use load curves with some recent prices paid by distributors to purchase electricity from an electricity market pool, we have been able to determine the costs to distributors associated with servicing individual end uses.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): Volume21 (2000)
Issue (Month): Number 2 ()
|Contact details of provider:|| Postal: |
Web page: http://www.iaee.org
More information through EDIRC
|Order Information:||Web: http://www.iaee.org/en/publications/ejsearch.aspx|
When requesting a correction, please mention this item's handle: RePEc:aen:journl:2000v21-02-a03. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (David Williams)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.