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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Energy and Buildingsarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Energy and Buildings
Article . 1986 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Exploratory scorekeeping for oil-heated houses

Authors: Michael L. Lavine; Miriam L. Goldberg; Margaret F. Fels;

Exploratory scorekeeping for oil-heated houses

Abstract

Abstract In this pilot study, a hitherto untapped source of fuel oil delivery data is explored as representative of a potentially powerful data source for analyses of residential oil consumption. The application of PRISM to oil data is studied in two parts: a detailed examination of a small number of houses, followed by an analysis of groups of houses in disparate (urban vs. suburban) regions. Extremely good fits to the data result, with interesting differences between houses with and without oil-fueled water heaters, and with some caveats regarding the interpretability of the results. The regional comparison shows almost no dependence on type of region or subset of houses. The most important finding is that monitoring consumption in oil-heated houses is almost as straightforward as it is in gas-heated houses, provided there are sufficient oil deliveries in the time period of interest.

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citations
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!
8
Average
Top 10%
Top 10%