Definition
Data quality refers to the degree to which data is fit for its intended purpose - accurate, complete, consistent, timely and traceable. In the power industry, data quality is existential: poor metering dataData from electricity meters - the foundation for billing, balance settlement and market processes in the power market. leads to incorrect billing for end users, incorrect balance settlementFinancial settlement between BRPs and the system operator for energy imbalances in a given period. between BRPs and potential regulatory issues. Data quality dimensions include accuracy (the value is correct), completeness (no missing readings), timeliness (data is delivered within deadlines), consistency (the same value across different systems) and traceability (changes are logged). The VEEValidation, Estimation, Editing - systematic process to ensure quality of raw metering data from electricity meters. process is the power industry's primary method for ensuring data quality in metering data. TvimenningOld Norse meaning 'two bound together' - one who solves a task shoulder to shoulder with another.'s RUNATvimenning's component register for electrical installations - providing structure and traceability for the components installations are built from. product specifically addresses data quality for energy metering data. With increasing complexity - prosumers, flexibilityAbility to change power consumption or production in response to price signals or system operator needs. resources and bidirectional energy flow - the demands on data quality systems are growing. Poor data quality is often detected late and is costly to correct retrospectively.