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Glossary · Energy industry & energy transition

Data Hub

Data hub Energy Data market communication measurement data Digitalisation electricity market

A data hub is a data infrastructure through which energy-sector data are collected, checked, linked and made available to authorised participants. In the electricity system, this can involve meter readings from smart metering systems, master data of market locations, information on supplier switching, grid status data, forecasts, flexibility offers or settlement data. The term does not refer to a single piece of software. It means an organised interface between technical installations, market roles, grid operators, metering point operators, suppliers, service providers and authorities. "Data hub" is not a uniform term defined by law. In practice, very different systems carry this name.

The core task of a data hub is the orderly provision of data. This requires technical interfaces, data formats, access rights, validation rules, logging and clear responsibilities. A data hub can be built physically centralised, for example as a national platform. It can also be organised in a federated way: in that case the data remain with different participants and can be retrieved via standardised interfaces. In both cases the same basic question arises: who may use which data, for what purpose, in what quality and at what time?

Distinction from database, platform and market communication

A data hub is more than a database. A database stores data. A data hub additionally governs roles, rights, data models, validation processes and access. It determines how data enter the system, how they are checked, how corrections and versions are handled and how an authorised user receives the data. In the electricity system, this organisational layer is often more important than the pure storage technology.

The term platform also captures only part of the concept. A platform can be a marketplace, a customer portal or a technical integration layer. A data hub does not have to enable trading. It can support market processes without itself being a market. An example: a supplier needs consumption data for a dynamic tariff. The data hub is then neither the tariff nor the contract, but the infrastructure that enables data access according to fixed rules.

The data hub must also be distinguished from market communication. Market communication refers to the standardised message processes between market roles, for example for supplier switching, balancing or settlement. A data hub can simplify or partly replace these processes. Data are then no longer sent repeatedly between individual partners, but are available in a shared data infrastructure. Figuratively speaking, the hub replaces a web of many individual connections with a star-shaped network with a common centre. Market communication governs the process; the data hub can provide the technical and organisational environment for it.

Which data in the electricity system are affected

There are various types of data in the electricity system. Master data describe objects and roles, such as a market location, a grid connection point, a meter, a supplier or a metering point operator. Measurement data are values over time, for example electricity consumption or feed-in in quarter-hourly values. Grid data describe the status or loading of equipment. Forecast data estimate future loads, generation or prices. Contract and settlement data assign technical measured values to economic relationships. EU law deliberately defines data broadly for data management: it covers metering and consumption data as well as the data needed for supplier switching, demand response and other services.

A data hub must keep these data types apart. A quarter-hourly value from a smart metering system must be treated differently from a master data change on supplier switching. Personal consumption data require different protection than aggregated grid data. Near-real-time data for grid operation place different demands on availability and transmission speed than historical data for settlement or analysis. The EU reference model for data access also explicitly distinguishes between validated historical data and non-validated near-real-time data.

This becomes particularly clear with measurement data. A measured value is not automatically billable, usable for grid operation or released to third parties. It must be assigned to a metering location, checked for plausibility, replaced by a substitute value where necessary, given the correct timestamp and linked to permissions. A data hub can make these steps visible and standardise them. It can only deliver this reliably, however, if it is clearly regulated who is responsible for collection, validation and release.

Legal framework in the EU

The Internal Electricity Market Directive (EU) 2019/944 does not prescribe any particular data hub. However, under Article 23, Member States must organise data management so that data access and data exchange are efficient and secure and that data protection and data security are ensured. They must determine which eligible parties may access the data of final customers. The bodies responsible for data management are to be authorised, certified or supervised. Personal data are to be processed in accordance with the General Data Protection Regulation. Where distribution system operators are involved in data management, their compliance programmes must contain specific measures against discriminatory data access. Whether a state chooses a central hub, a decentralised model or a hybrid is left to it.

Implementing Regulation (EU) 2023/1162 makes this more specific for electricity metering and consumption data. It sets interoperability requirements, that is, requirements for the ability of different systems to exchange data. It also regulates non-discriminatory and transparent procedures through which final customers and eligible parties access these data. At its core is a common reference model with roles, information objects and process steps that all Member States must apply. The model is technology-neutral. It therefore does not prescribe any particular platform architecture, but ensures a uniform understanding of roles, responsibilities and access procedures.

Practical examples

  • Denmark: The state-owned transmission system operator Energinet has operated a central DataHub for the electricity retail market since 2013. According to Energinet, metering data and business processes such as move-ins and move-outs for the country's metering points run through it; an undated Energinet document cites around 3.3 million metering points. The hub forms the basis for suppliers' settlement. End customers can view their own data via a portal and allow third parties access.

  • Norway: Elhub, also owned by the transmission system operator Statnett, has been in operation since February 2019. According to a status report by the Nordic regulators, in 2020 Denmark and Norway were the only NordREG members with fully implemented data hubs.

  • Germany: There is so far no central hub for end-customer metering data here. Data exchange largely runs via bilateral market communication between the market roles. In determination proceeding BK6-24-210, the Bundesnetzagentur (Federal Network Agency) is working on a reorganisation of balancing group settlement with a central "MaBiS hub". The design and timetable should in each case be checked against the current state of the proceeding.

  • Regulatory data collection: The Bundesnetzagentur's "BNetzA Data Hub" serves a different purpose. It is a single entry channel through which companies deliver data to the authority via a REST interface or web form. It therefore serves regulatory work and not data exchange between market participants. According to the detailed technical specification of October 2026, it started on 31 August 2026 with limited functionality; an extended go-live is planned for 30 November 2026. The example shows how differently the term is used.

Why data hubs are becoming more important for the electricity system

The previous electricity system managed with comparatively coarse data flows. Large power plants fed in on a plannable basis, many households are still read only once a year to this day, and for their balancing a standard load profile replaces the actual quarter-hourly values. With photovoltaics, heat pumps, electromobility, battery storage and flexible consumers, the requirements change. Generation and consumption become more fine-grained, more dependent on the weather and more variable over time.

As a result, the value of reliable data increases. Dynamic electricity tariffs need timely consumption data and price signals. Grid operators need better information on feed-in, load and controllable installations in order to detect or avoid bottlenecks in the distribution grid. Suppliers and aggregators need data to pool and market flexibility. Those responsible for a balancing group must assess deviations between forecast and actual delivery. Regulatory authorities need robust data to assess rules, costs and effects.

A data hub can reduce duplicate reporting, increase data quality and speed up processes. It can also prevent every participant from building its own interfaces, data models and validation rules. Without a common data order, high transaction costs arise. Small providers are at a disadvantage because they have to serve many different formats. Grid operators receive data too late or in an unsuitable resolution. And consumers can release their data for new services only with effort.

Typical misunderstandings

A common misunderstanding is to see a data hub as a purely technical solution. Software can store, transmit and check data. But it does not clarify which role is responsible for which data. If master data are wrong, access rights remain unclear or market processes set contradictory deadlines, a data hub merely shifts the problem elsewhere. On the contrary, it often makes errors visible faster, because automated processes require clean input data.

A second misunderstanding concerns centralisation. A data hub is often equated with a single national database. That is one possible design, but not a mandatory feature. The EU reference model, too, is expressly technology-neutral. A central solution can simplify processes, but creates dependencies, high security requirements and questions of steering and control. A distributed solution can strengthen data protection and resilience, but for that it needs stricter interfaces and a uniform meaning of the data.

A third misunderstanding is the assumption that better data automatically lead to better decisions. Data need context. A load profile shows when electricity was drawn. It does not explain whether the consumption was flexible, whether a heat pump was running, whether an industrial plant could not shift for technical reasons or whether a price signal had an effect. For flexibility markets, grid planning or tariff design, robust assignments between measured values, installations, contracts, grid situations and market rules are needed.

Data protection is also often treated in a shortened way. Consumption data can allow conclusions about presence, appliance behaviour or production processes. A data hub therefore needs purpose limitation, role-based access, logging, deletion concepts and technical security. At the same time, data protection is not a blanket argument against any use of data. Many applications manage with aggregated, anonymised or pseudonymised data. Which data resolution is appropriate follows from the specific purpose.

Governance, incentives and responsibilities

Whether a data hub creates trust depends on its institutional set-up. This includes the question of who operates it. A transmission or distribution system operator, a state-mandated operator, a regulated market organisation or a private service provider each have different incentives. In Denmark and Norway, operation lies with the transmission system operator. An operator with its own market role must be separated particularly clearly from competitive uses. EU law therefore requires distribution system operators to take their own measures for non-discriminatory data access. A state-regulated operator can ensure neutrality, but must remain efficient, capable of innovation and technically competent.

Access rights are not a legal side issue. They determine which business models become possible and who retains control over the data. If consumers can release their metering data easily and securely, for example for energy management, dynamic tariffs or flexible load control, the barriers to new offerings fall. If access is cumbersome, the data remain with established participants. If it is too open, risks arise for data protection, manipulation and IT security.

Costs are also part of the topic. Set-up, operation, certification, maintenance of interfaces and cybersecurity have to be paid for. Whether these costs are distributed via network charges, fees or market prices creates different incentives. A fee structure can deter small providers, while a full pass-through can conceal costs. Good data infrastructure does not arise incidentally, but forms part of the basic operational equipment of an increasingly decentralised electricity system.

Connection with flexibility and security of supply

A data hub is particularly important for flexibility because flexible installations need data from several levels. An electric car can technically shift its charging in time. Whether this flexibility may be used, however, depends on the contract, user wishes, grid situation, metering concept, control signal and settlement. Without a reliable linkage of these data, flexibility remains theoretically available but is hard to use in practice.

Data organisation also plays a role for security of supply, although not according to the simple equation "more data equals a more secure system". Grid operators must be able to observe the grid sufficiently to detect bottlenecks, feed-in peaks or rising loads. Market participants need robust information for better forecasts, and authorities need data for risk assessment. A data hub can support these information flows. But it replaces neither grid capacity nor balancing energy nor reserve power plants. It can only help to deploy existing resources in a more targeted way.

The term data hub shows that the digitalisation of the electricity system does not end at the smart meter or the smart meter gateway. Data become usable only when they are in a reliable order: technically unambiguous, legally permissible, timely, institutionally neutral and precise enough for the respective purpose. A data hub is therefore more than a collection of data. It is a building block for enabling metering, the market, grid operation and new flexibility applications to work together without having to renegotiate data flows each time.

Sources

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Edited by eCMS on 11.11.2026 18:29

© 2026 Erik Schmidt. All rights reserved. Quotations with a link to the source are welcome.