Building Europe’s Smart Energy Future with 5G/6G and Edge Intelligence
The “Empowering Energy Infrastructure: The Role of 5G/6G and Edge Intelligence” workshop, held on May 7 in Brussels, served as a platform for stakeholders from the energy, IoT, and next-generation network sectors. Organised by the Alliance for IoT and Edge Computing Innovation (AIOTI) and the CEI-Sphere project, the event highlighted the European Commission’s vision for a decentralised, digitalised energy system supported by a robust digital backbone of 5G/6G and distributed operational intelligence.
The workshop’s findings underscore a transition from isolated, one-by-one device integration toward a cohesive, interoperable ecosystem. While pilot projects under the COP-PILOT and O-CEI Horizon initiatives demonstrate the technical feasibility of intelligent grid orchestration, from EV charging forecasting to symbiotic building management but significant barriers remain. Specifically, the lack of standardised interfaces, fragmented national regulations for 5G and grid requirements, and the absence of shared semantics represent the primary hurdles to scaling these solutions across Europe.
Strategic Vision: Distributed Intelligence and Connectivity
The workshop opened with a strategic framing by Rolf Riemenschneider of the European Commission, focusing on the infrastructure required to modernize the European power grid.
- Transition to distributed intelligence: there is a shift toward distributed operational intelligence which involves moving away from centralised control toward smarter grid infrastructures where decision-making occurs closer to the source.
- The digital backbone: 5G and future 6G technologies are identified as the essential communication layers required to support this transition. This convergence of energy systems and next-generation connectivity is expected to enable the resilience and flexibility needed for modern demand.
- CEI-Sphere initiative: the CEI-Sphere project aims to facilitate this transition by connecting stakeholders, facilitating knowledge exchange, and accelerating the market adoption of interoperable Cloud-Edge-IoT solutions.
Technical implementations
The practical applications of intelligent energy systems are highlighted through various pilot programs which demonstrate the real-world utility of edge intelligence and 5G/AI integration.
- Grid flexibility management: utilising distributed energy resources to balance grid demand.
- EV infrastructure: applying predictive maintenance and demand forecasting for Electric Vehicle (EV) charging stations.
- Renewable energy forecasting: implementing real-time monitoring and anaerobic digestion forecasting for biogas plants.
- Data sovereignty: demonstrating secure, selective cross-domain data exchange that preserves operational safety while allowing for better grid coordination.
Critical Barriers to Scalability
Despite technical successes in pilot environments, the workshop identified four recurring challenges that prevent the large-scale deployment of smart energy solutions across Europe.
The most significant hurdle is the lack of standardised and open interfaces for consumer-side devices. Currently, devices such as heat pumps, EV chargers, and solar inverters lack common digital interfaces. This leads to “isolated systems” where each device must be integrated individually rather than functioning within a unified network. Brian O Regan (IERC) characterised the solution as a “USB-C moment”: the need for a single, universal standard for energy interoperability.
There is a notable absence of digital interfaces between flexibility providers (those who can adjust energy use) and Distribution System Operators (DSOs). Without this link, the potential for decentralised grid management remains untapped.
The deployment of 5G-enabled energy solutions is hindered by fragmented national implementations. Variations in 5G licensing and grid requirements across European borders make it difficult for providers to scale a single technical solution across the entire continent.
To achieve seamless data exchange, the sector requires shared semantics and ontologies, and interoperable architectures that allow different platforms to communicate without custom-built connectors.
Future outlook
While technical solutions for intelligent, edge-based energy systems exist, their success depends on regulatory and institutional evolution. The CEI-Sphere and AIOTI frameworks will continue to focus on data management, governance, and the development of sustainable business models to support these technologies.