Definition
Conversion is the process by which data is transformed from one form of representation to another without losing meaningful content. In the energy sector, conversion is ubiquitous: EDIFACTUN standard for electronic data interchange. In the power market it is used where messages go directly between market participants, and in systems that predate the national hubs. messages are converted to JSONJavaScript Object Notation - lightweight data format for data exchange between systems, standard in REST APIs. for modern APIs, XMLExtensible Markup Language - universal markup language for structured data, standard in Elhub's Ediel messages.-based ElhubNational hub for metering data and market processes in the Norwegian electricity market. messages are translated to RESTRepresentational State Transfer - architectural style for APIs based on HTTP and resource-oriented design. calls, and legacy databaseOrganised collection of structured information stored and accessed electronically - foundation of all digital systems. formats are migrated to new data models. Conversion occurs in three contexts: format conversion (XML → JSON, CSV → Parquet), schema conversion (old data modelFormal representation of data structure, relationships and constraints - foundation for database design and system messages. → new data model) and protocol conversion (SOAPSimple Object Access Protocol - XML-based messaging protocol used in enterprise integrations, including Elhub. → REST). TvimenningOld Norse meaning 'two bound together' - one who solves a task shoulder to shoulder with another. carries out conversion assignments as part of modernisation and integration projects - typically when transitioning to a new KISCustomer Information System - the core system at power suppliers and grid companies for customer management and billing., new MDMMeter Data Management - system for collection, storage, quality assurance and distribution of metering data from the electricity grid. or new cloud platform. A successful conversion requires thorough mapping of source data to the target format, handling of missing and invalid values, and post-conversion verification against the source data.