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Exploratory scorekeeping for oil-heated houses

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.
- College of New Jersey United States
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).8 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.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
