Meter Data Management - system for collection, storage, quality assurance and distribution of metering data from the electricity grid.
Definition
MDM (Meter Data Management) is a system for collecting, validating, storing and distributing metering dataData from electricity meters - the foundation for billing, balance settlement and market processes in the power market. from the entire metering pointThe fundamental unit in Elhub - the unique point in the electricity network where energy is measured and settled, identified by an 18-digit GSRN number. portfolio. MDM receives raw readings from the AMIAdvanced Metering Infrastructure - comprehensive system for two-way communication between smart meters and power suppliers' systems. head-end system, runs VEEValidation, Estimation, Editing - systematic process to ensure quality of raw metering data from electricity meters. processes (validationThe first step in VEE - automated checks of metering data against technical and logical limits to detect obviously erroneous values., estimationThe second step in VEE - calculation of missing or rejected metering values based on historical patterns, neighbouring meters or statistical models., editingThe third step in VEE - manual correction of metering values that cannot be resolved automatically, with full audit trail for all changes.), stores approved time seriesMeasurements of the same quantity repeated over time. The order and the timestamp are part of the data, not decoration. and distributes them to ElhubNational hub for metering data and market processes in the Norwegian electricity market., CIS and analysis systems. MDM is the authoritative source of record for billing-ready metering data.
In practice, MDM data completeness is the single most important KPI for a grid company's data operations. A metering point with a missing hourly value in MDM cannot be included in balance settlement for that hour. Norwegian grid companies must report metering data completeness rates to NVE. RUNA (Tvimenning's VEE product) integrates at the MDM layer - filling gaps and editing outliers before the data is considered billing-ready. MDM systems often struggle with volume: a grid company with 200,000 customers generates ~4.8 million data points per day.
In practice
In practice, MDM data completeness is the single most important KPI for a grid companyCompany that owns and operates electricity grids and is responsible for power supply to end users.'s data operations. A metering pointThe fundamental unit in Elhub - the unique point in the electricity network where energy is measured and settled, identified by an 18-digit GSRN number. with a missing hourly value in MDM cannot be included in balance settlementFinancial settlement between BRPs and the system operator for energy imbalances in a given period. for that hour. Norwegian grid companies must report metering dataData from electricity meters - the foundation for billing, balance settlement and market processes in the power market. completeness rates to NVENorway's Directorate of Water Resources and Energy - regulates the electricity and water resources sectors.. RUNATvimenning's component register for electrical installations - providing structure and traceability for the components installations are built from. (TvimenningOld Norse meaning 'two bound together' - one who solves a task shoulder to shoulder with another.'s VEEValidation, Estimation, Editing - systematic process to ensure quality of raw metering data from electricity meters. product) integrates at the MDM layer - filling gaps and editingThe third step in VEE - manual correction of metering values that cannot be resolved automatically, with full audit trail for all changes. outliers before the data is considered billing-ready. MDM systems often struggle with volume: a grid company with 200,000 customers generates ~4.8 million data points per day.
