Performance Assurance Reporting and Monitoring System (PARMS) is a database that contains information about how Suppliers and their Supplier Hubs are performing.
PARMS data is used primarily to support the Performance Monitoring and Reporting technique, which is part of ELEXON’s Performance Assurance Framework.
It is also used in the Peer Comparison and Supplier Charges techniques and in reports to the Performance Assurance Board (PAB)
View the PARMS training video which explains the PARMS submissions, timescales, monitoring requirements (the ‘Serials’) and the performance measures (the ‘Standards’).
Best viewed in IE9 and above, Firefox and Safari.
Who’s involved in Performance Monitoring and Reporting?
Performance data is submitted by Suppliers, Supplier Agents, Supplier Meter Registration Agents (SMRAs) and the Supplier Volume Allocation Agent (SVAA).
We then provide industry performance information to the Performance Assurance Board (PAB) and publish it with PAB meeting papers each month.
What are the performance measures?
Performance requirements are defined within PARMS Serials. A Serial is a defined area or process for performance measurement and the Standards are the required performance levels within the process.
When is data submitted?
PARMS data provided by Supplier and Supplier Agents is sent to email@example.com within 20 Working Days (WDs) of the end of each month. Suppliers receive automated reports confirming what was submitted by Supplier Agents acting on their behalf. We process this information and extract it for our monitoring processes.
Suppliers that don’t provide a complete set of performance data either themselves or via their Supplier Agents by the 20 WD deadline will incur a charge under the Supplier Charges technique.
Performance Assurance Framework
Performance Monitoring and Reporting is a detective technique in ELEXON’s Performance Assurance Framework. It complements other techniques through providing quantitative data designed to identify performance at certain points in the Settlement processes.