SERL smart meter data of GB EPCs, Rural EPCs and rural archetypes
Description
Part of the PhD thesis The challenges of decarbonising heating
of rural UK homes by Samir Soares.
This PhD is funded by the Engineering and Physical Sciences Research Council
(EPSRC) through the EPSRC Centre for Doctoral Training in Sustainable
Hydrogen (EP/S023909/1).
SERL smart meter data of GB EPCs, Rural EPCs and rural archetypes created from data from the smart energy research lab (SERL) [https://serl.ac.uk/].
Consisting of 21 different timeseries of aggregated real electricity and gas consumption data in 15 min intervals for 12 months from September 2021 to August 2022.
GB EPCS: A, B, C, D, E, F, G, no EPC
Rural GB EPCS: A, B, C, D, E, F, G, no EPC.
4 rural archetypes: On Gas grid village, off gas grid village, sparse rural off gas grid, old rural, new rural
External URI
Subjects
- Electric meters
- Time-series analysis
- Gas-meters
- Electricity
- Energy policy
- Off-gassing
- Great Britain
- smart meter, timeseries, rural, energy, EPC, GB, Great Britain, realtime, 12 months, 1 year, 15 minute, metering, SERL, smart energy research lab, off gas
- Engineering
- Engineering::Electronic & electrical engineering::Electrical power
- T Technology::TK Electrical engineering. Electronics Nuclear engineering
Divisions
- University of Nottingham, UK Campus::Faculty of Engineering::Department of Architecture and Built Environment
Deposit date
2025-03-10Data type
energy demand timeseriesFunders
- Engineering & Physical Sciences Research Council
Grant number
- EP/S023909/1
Parent project
- PhD thesis - The challenges of decarbonising heating of rural UK homes
Coverage
- Great Britain
- 2021 to 2022
Data collection method
APILegal and ethical issues
all identifying data of individual datasets have been anonymised. Permission has been gained from SERL to publish this dataProvenance / lineage
SN: 8666, DOI: 10.5255/UKDA-SN-8666-6Resource languages
- en