The DNOA output shows future network constraints, the recommended solution and the current status in the solution progress. It indicates when, where and at what volume flexibility services will be required in the next few years. This dataset will be updated annually by the end of the first quarter each year. You can find out more information about our methodology here: Distribution Network Options Assessment (DNOA) (ukpowernetworks.co.uk)

This dataset is a low voltage subset of the full DNOA dataset. The DNOA output shows future network constraints, the recommended solution, and the current status in the solution progress. It indicates when, where, and at what volume flexibility services will be required in the next few years. Note: Due to the differences in the publication date of databases such as the LTDS, DFES NSHR, and the DNOA, there can be differences in published data. You can find out more information about our methodology here: Distribution Network Options Assessment (DNOA) (ukpowernetworks.co.uk)

This dataset is a feed from UK Power Networks' Distribution Network Management System - PowerOn, showing near real time power cut (fault) data. It includes planned and unplanned power cuts. Users will be able to consume live fault data via API. Note: the geopoints are created from aggregated post code data to protect individual customer privacy; any power cuts which contains five or less customers, and can not be aggregated have been omitted.

This list provides details of current plans (as stated in the Development Proposals of the last LTDS publication) for the development of UK Power Networks' three licence areas over the next five years. The LTDS is updated twice a year: end of May; and end of November. The plans are subject to change in both their content and timing. All the schemes listed provide an increase in network capacity. Projects which have only an asset replacement element are excluded. More information and full reports are available from the landing page below: Long Term Development Statement and Network Development Plan Landing Page Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/

Volume of Low Carbon Technologies (LCT) for both generation and demand (under 1MW) connected to UK Power Networks by Primary Substation. Examples of LCTs include electric vehicle charge points and solar PV.

Energy consumption readings for a sample of 5,567 London Households that took part in the UK Power Networks led Low Carbon London project between November 2011 and February 2014. Readings were taken at half hourly intervals. The customers in the trial were recruited as a balanced sample representative of the Greater London population. The dataset contains energy consumption, in kWh (per half hour), unique household identifier, date and time. The CSV file is around 10GB when unzipped and contains around 167million rows. Within the data set are two groups of customers. The first is a sub-group, of approximately 1100 customers, who were subjected to Dynamic Time of Use (dToU) energy prices throughout the 2013 calendar year period. The tariff prices were given a day ahead via the Smart Meter IHD (In Home Display) or text message to mobile phone. Customers were issued High (67.20p/kWh), Low (3.99p/kWh) or normal (11.76p/kWh) price signals and the times of day these applied. The dates/times and the price signal schedule is availaible as part of this dataset. All non-Time of Use customers were on a flat rate tariff of 14.228pence/kWh. The signals given were designed to be representative of the types of signal that may be used in the future to manage both high renewable generation (supply following) operation and also test the potential to use high price signals to reduce stress on local distribution grids during periods of stress. The remaining sample of approximately 4500 customers energy consumption readings were not subject to the dToU tariff. More information can be found on the Low Carbon London webpage Some analysis of this data can be seen here.