The resource Dispatch Report Week 7 has been published on the dataset Flexibility Dispatch Report
The resource 02 February 2026 Day Ahead Markets has been published on the dataset Flexibility Markets - Day Ahead Bidding
The resource Postcode List SEPD 09 February 2026 Day Ahead Markets has been published on the dataset Flexibility Markets - Day Ahead Bidding
The resource Tender Requirements 09 February 2026 Day Ahead Markets has been published on the dataset Flexibility Markets - Day Ahead Bidding
The resource NaFIRS Methodology Statement has been published on the dataset NaFIRS HV Faults
The resource SSEN Data Triage record for NaFIRS has been published on the dataset NaFIRS HV Faults
The resource NaFIRS Definitions has been published on the dataset NaFIRS HV Faults
The resource NaFIRS HV Faults SHEPD (CSV) has been published on the dataset NaFIRS HV Faults
The resource NaFIRS HV Faults SEPD (CSV) has been published on the dataset NaFIRS HV Faults
NaFIRS HV Faults added to data portal.
I want to connect to the network, and I am not sure where to start.
I am connected to the network, and I want to learn more about utilising my assets and connection.
I want to collaborate with other stakeholders e.g. NESO, DNOs / DSOs, Local Authorities etc.
I want to conduct research into the network to improve our knowledge, develop new products or help understand my usage.
The Embedded Capacity Register (ECR) has been developed to provide better information to electricity network stakeholders on connected resources and network requirements. Each Distribution Network Operator (DNO) will host a register which will provide accessible information at a local and national level. The register uses a format agreed through the Energy Networks Association's Open Networks project, an industry initiative aimed at transforming the operation of energy networks and delivering a smart grid. Our register provides information on generation and storage resources (>=50kW) that are connected, or accepted to connect, to the electricity distribution networks owned and operated by us and it will be updated on a monthly basis. The register also includes information on the flexibility services that are being provided by connected resources, assisting to control or schedule demand and/or generation to reduce network constraints.
Details of SSEN Substations, their type and identification and location coordinates for both SEPD and SHEPD licence areas. Derived from the Shapefile data and presented separately here for convenience.
The Long Term Development statements provide information for anyone connecting to our distribution system at extra high voltage (EHV) level (including HV busbar of primary substations). It is designed to help to identify and evaluate opportunities for entering into arrangements with us relating to use of system or connection. Our statements include the following: network data; the likely development of our distribution system; plans for modifying the distribution system; and identification of parts of the distribution system that are likely to reach capacity limit in the next years. A long term development statement is available for each of our distribution network areas in central southern England and northern Scotland. Each statement has two sections, a summary (Part 1) and a detailed section (Part 2) both of which are available for download below.
Smart meter LV feeder half hourly usage data is collected directly from smart meters in homes and businesses and anonymised through aggregation to no less than 5 properties through SSEN’s smart meter adapter. There is a postcode and LV Feeder Dataset ID lookup to provide the aggregated half hourly consumption data in Wh (combined primary and secondary active import Wh), from the relevant secondary transformer and low voltage feeder IDs with a total count of smart meters. Please note that the aggregated half-hourly data provided via our Open Data Portal is sourced from smart meters. Smart meters, their performance, and the data stored within them are the responsibility of the energy suppliers who install them at customers’ premises. There are some known and potential unknown issues within the data, and while we make reasonable efforts to ensure the accuracy of the smart meter data retrieved, we do not accept responsibility or liability for its accuracy, completeness, or any loss arising from reliance on this dataset.
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