Energy data

In practice

For IT systems in the energy sector, energy data is the central resource around which all processes revolve. In practice, the challenge is twofold: volume (millions of hourly values daily) and quality (VEEValidation, Estimation, Editing - systematic process to ensure quality of raw metering data from electricity meters. validationThe first step in VEE - automated checks of metering data against technical and logical limits to detect obviously erroneous values. to ensure complete and accurate time seriesMeasurements of the same quantity repeated over time. The order and the timestamp are part of the data, not decoration.). Systems such as MDMMeter Data Management - system for collection, storage, quality assurance and distribution of metering data from the electricity grid., CIS and BI platforms are all built to ingest, store, validate and present energy data. TvimenningOld Norse meaning 'two bound together' - one who solves a task shoulder to shoulder with another. products RUNATvimenning's component register for electrical installations - providing structure and traceability for the components installations are built from. and SPIRATvimenning's metering point and asset register - your single source of truth for master data, with a built-in validation engine and Elhub integration. are examples of specialised tools for data qualityThe degree of accuracy, completeness and reliability in a dataset - critical for correct billing and balance settlement in the power sector. and analysis of energy data, respectively.