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For example a demand behaviour which is associated to a premise and represents its electricity consumption for every half-hour of a day can be set using three types of data in our implementation: half-hourly profile data from a sample of premises, half-hourly profile data from some feeders, and profiles derived from a weather-driven model of consumption.
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Either all or a random sample of licensed premises were chosen for inclusion.
Also, in some instances a cattle farm may have been given more than one farm number, and thus the exact number of premises sampled in this study is not known.
However, it is quite clear that no rational, reflective, etc. non-theist will accept the pair of premises in the sample argument.
In the Aberdeenshire sample, 88.8% (n = 95) of premises point locations were <60 m from their CPH-matched nearest field; 2.8% (n = 3) were separated by 60-1000 m, and the remaining 8.4% (n = 9) by ≥1000 m.
The majority of premises in the Ayrshire sample kept cattle only (70.1%), and no premises kept any pigs (Table 1).
For the Ayrshire sample 197 premises points were first selected, of which only 184 (93.4%) could be linked to fields within the IACS database.
Of the premises included in the sample, 2973 premises use identifiable slaughterhouses, 707 premises use identifiable catching companies and 1016 have company affiliations.
From a target population of approximately 9075 premises (the number of premises housing >999 birds according to the GB poultry register), a sample of 4441 poultry premises was included and potentially infectious links between premises could occur as a result of premises using the same slaughterhouse, catching company, or belonging to the same multi-site company.
A sample study area was then selected within each of Aberdeenshire and Ayrshire based on the point locations of premises being within an area of approximately 15x15 km.
Ospreys in charge of premises.
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