Skip to main content

Understanding the spectrum of residential energy consumption: A quantile regression approach

Dates

Year
2010

Citation

Kaza, N., 2010, Understanding the spectrum of residential energy consumption: A quantile regression approach: Energy Policy, v. 38, iss. 11, p. 6574-6585.

Summary

Residential energy consumption accounts for 22% of the total energy consumption in the US. However, the impacts of local planning policies, such as increasing density and changing the housing type mix, on residential energy consumption are not well understood. Using Residential Energy Consumption Survey Data from the Energy Information Administration, quantile regression analysis was used to tease out the effects of various factors on entire distribution on the energy consumption spectrum instead of focusing on the conditional average. Results show that while housing size matters for space conditioning, housing type has a more nuanced impact. Self-reported neighborhood density does not seem to have any impact on energy use. Furthermore, [...]

Contacts

Author :
Kaza, N.

Attached Files

Communities

  • Western Energy Citation Clearinghouse

Tags

Additional Information

Identifiers

Type Scheme Key
DOI WECC []
ISSN WECC 0301-4215

Citation Extension

citationTypeJournal Article
journalEnergy Policy
parts
typePages
value6574-6585
typeVolume
value38
typeIssue
value11

Item Actions

View Item as ...

Save Item as ...

View Item...