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An hourly local natural gas demand dataset created for the UK Energy Research Centre's Phase 3 FlexiNET project. A briefing note using part of the data can be found - http://www.ukerc.ac.uk/publications/local-gas-demand-vs-electricity-supply.html The dataset has been aggregated from the hourly operational demand data from Great Britain's four Gas Distribution Network companies (GDNs) and provides an empirical record rather than modelled data. Columns ['utc_index', 'utc_aware', 'utcdiff', 'localtime_aware', 'localtime_naive_text', 'localtimediff', 'gb_demand_kWh_cleaned'] Column descriptions: utc_index: datetime in utc utc_aware: datetime in utc timezone aware utcdiff: difference between subsequent values for utc_aware column (as check step value - should only be 0 days 01:00:00.000000000) localtime_aware: London local time localtime_naive_text: London local time as text localtimediff: difference between subsequent values for localtime_aware column (as check step value - should have one value per year of 02:00 hours for clock forward in March to British Summer Time, 00:00 for clock backward in October, and 01:00 for all other values) gb_demand_kWh_cleaned: the aggregate demand for natural gas through the local gas networks in kWh over the hour
hourly demand, natural gas demand, energy vector
hourly demand, natural gas demand, energy vector
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). | 0 | |
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). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |