* gas kwh are weather corrected within the 10 DNO distribution zones before delivery to DECC
* The End User License file (EULF) dataset is a sample of just over 4 million households
* EULF is a semi-random sample of the 8m records which have an Energy Performance Certificate.
* It includes only those with valid values on key variables (Property Age, Property Type, Floor Area Band and Energy Efficiency Band) and (especially) valid observations for electricity in 2012.
* Records were selected based on the frequency of household type in the dataset relative to the total dwelling stock so that uncommon property types (e.g. older detached properties) are over-represented and common types (e.g. flats where turnover is high) are under-represented. The supplied weight corrects for this for descriptive analysis.
* The End User License file (EULF) dataset is a sample of just over 4 million households
* EULF is a semi-random sample of the 8m records which have an Energy Performance Certificate.
* It includes only those with valid values on key variables (Property Age, Property Type, Floor Area Band and Energy Efficiency Band) and (especially) valid observations for electricity in 2012.
* Records were selected based on the frequency of household type in the dataset relative to the total dwelling stock so that uncommon property types (e.g. older detached properties) are over-represented and common types (e.g. flats where turnover is high) are under-represented. The supplied weight corrects for this for descriptive analysis.
* Implications for sample bias unclear - there may be other systematic biases not captured by the weight?
* UPRN = unique property reference = linkage mechanism across EPCs, gas/electricity data and EST data on energy efficiency installations (uses AddressBase)
*hoping to add PV etc installations soon
*PV installs added for 2015 report - see https://www.gov.uk/government/statistics/national-energy-efficiency-data-framework-need-report-summary-of-analysis-2015
* Bias caused by linkage failure is unknown although the DECC NEED Data Framework report from 2013 suggest match rates of 94%-100% (https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/209264/Annex_B_-_Quality_Assurance.pdf)
* Both gas and electricity consumption are rounded and the rounding range ('to nearest n') increases through the distributions (see https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/315189/need_dataset_look_ups.xlsx). The reasons for this are explained in the consultation response at https://www.gov.uk/government/consultations/national-energy-efficiency-data-framework-making-data-available
* Both gas and electricity consumption are rounded and the rounding range ('to nearest n') increases through the distributions (see https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/315189/need_dataset_look_ups.xlsx). The reasons for this are explained in the consultation response at https://www.gov.uk/government/consultations/national-energy-efficiency-data-framework-making-data-available
* the Gcons*valid variable codes:
* G = Gas consumption invalid, greater than 50,000
* L = Gas consumption invalid, less than 100
* M = Gas consumption data is missing in source data
* 0 = Property does not have a gas connection
* V = Valid gas consumption (between 100 and 50,000 inclusive)
* V = Valid gas consumption (between 100 and 50,000 inclusive)
* NB - there are valid gas readings of '0' which presumably were > 100 but < 249 (first gas 'heap' = 'nearest 500')
* the Econs*valid variable codes:
* G Electricity consumption invalid, greater than 25,000 (DECC lookup table says 50,000)
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@@ -48,4 +48,3 @@ Notes to DECC (!)
* can the consumption rounding be constant through the distributions?
* check coding of Gcons ref 0 values for 'valid' cases?
* distinguish between electric & 'other' heating in 'main heating fuel'?
