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.

Data collected relating to load profiles for electric vehicle charging, part of the Low Carbon London (LCL) project delivered by UK Power Networks. Data has been anonymised. For further queries contact innovation@ukpowernetworks.co.uk Folders: EV Commercial trials Folder contains raw data from LCL EV commercial trials (2013 - 2014) Files ordered by customer with ten-minute time stamps of EV activity. EV Public trials List of charging events of four different suppliers of public charge points. EV Residential trials Folder contains raw data from LCL EV residential trials (2013 - 2014) – sorted by customer. Files ordered by customer with ten-minute time stamps of EV activity. Also contained are anonymised surveys about EV habits.

This dataset reports on UK Power Networks' use of paid flexibility services. UK Power Networks uses flexibility (demand/generation turn up/down) in London, the South East, and the East of England to manage electricity flows on the local electricity distribution network.

This dataset contains details of open street and roadworks permits and private activities taking place on the highway or on private land within the UK Power Networks footprint. See what work we are doing, where and when you can expect us to finish.

Data was collected relating to load profiles for 19 customers as part of the Low Carbon London project, delivered by UK Power Networks. Data has been anonymised. Two folders, correspond to two suppliers – data is offered differently from the two suppliers. The folder ‘Data Supply 1’ contains two folders as Power Quality is logged separately from Heat Profiles. For further queries contact innovation@ukpowernetworks.co.uk Variation from the specification None of the power quality meters were capable of recording specific harmonic phase, therefore only harmonic magnitudes are recorded. The Enetics power quality meters record to a maximum of the 25th harmonic No power quality data for S1_Customer 6 or 8

This dataset contains voltage, current, power, energy, and weather data from low-voltage substations and domestic premises with high uptake of solar photovoltaic (PV) embedded generation. Data collected as part of the project run by UK Power Networks. Validation of Photovoltaic Connection Assessment Tool https://www.ofgem.gov.uk/ofgem-publications/93938/pvtoolcdrfinal-pdf The project collected a rich dataset at domestic sites with Solar Panels. The data set comprises of 25,775 days-worth of data, and over 171 million individual measurements. Key stats about the dataset: 20 substations and 10 domestic premises Collected over 480 days - 27 July 2013 to 19 November 2014 10 minute intervals over all time recorded, 1 minute intervals in summer 2014 10-minute measurements prior to 10 June 2014, aggregated to hourly minima and maxima Several important findings are presented in the final project report (link above). For any further queries please email innovation@ukpowernetworks.co.uk

The GIS (Geographic Information System) vectorisation project will deliver the incremental digital conversion of our legacy geospatial network records. This dataset defines the sub-areas which will be incrementally delivered, detailing corresponding current status and planned completion dates. This allows users to understand the current and future coverage of digital geospatial network records as the project progresses.

Optimise Prime has gathered data from over 6,000 Electric Vehicles (EVs) driven for commercial purposes through three trials. The project also implemented a range of technical and commercial solutions aiming to accelerate the transition to EVs for commercial fleet operators, while helping GB’s distribution networks plan and prepare for the mass adoption of EVs. The project aimed to reduce the impact of EVs on distribution networks and ensure security of electricity supply while saving money for electricity customers, helping the UK meet its clean air and climate change objectives. The project consisted of three trial workstreams (WS): WS1, investigating the impact of commercial vehicles charging at homes WS2, monitoring and optimising commercial vehicles charging in depots WS3, which uses private hire vehicle (PHV) journey data to model the impact of these vehicles on the distribution network. The trial period for WS3 began in August 2020, with WS1 and WS2 trials commencing on 1 July 2021. All trials concluded at the end of June 2022. Optimise Prime is sharing the project datasets by making them publicly available to the wider electricity, fleet and PHV industry to optimise their vehicle electrification plans. DNOs, academics and interested parties will be able to utilise this anonymised data created by the project for further research, analysis and forecasting. Along with the datasets, an introductory document is available below, it provides information on the content of those datasets, guidance on how to interpret each data field and instructions on how to access the data. Over the course of the trials, the project has collected and analysed data from a wide range of sources in order to carry out a wide range of experiments. The key datasets collected and used in analysis are available here. These includes: WS1 – Return-to-Home Trials · Charge Point (CP) session data · Vehicle telematics journey data WS2 – Depot Trials · Details of the assets and asset types at each depot · Charging data gathered from the CPs at each depot · Building load measurement data from each depot · Details of the profiled connections, flexibility trials and smart charging profiles trialled at each depot WS3 – Mixed Trials · PHV charging demand overlaid onto substation available capacity data aggregated by borough The project is not able to release all data collected and used by the project, as some are commercially confidential to the project partners (such as precise volumes of Uber trips or substation capacities), contains potentially personally identifiable information (such as precise start and end locations of home charging journeys or Uber trips) or were purchased by the project under license (e.g. charge point (CP) locations, weather data and off-street parking data). Access the data via this link: https://ukpowernetworks.opendatasoft.com/explore/dataset/optimise-prime/information/ The figure below shows how the datasets are built: