LF Energy Summit Europe 2026

Several related power system planning model interoperability initiatives will share their latest progress, challenges, and real-world applications, including consideration of the differing needs of different end users. Panelists will discuss the potential to align efforts and the challenges and opportunities in delivering both a more effective and more streamlined future modeling experience for end users, from grid operators to energy ministries to civil society. Presenters will cover where models overlap, where models diverge, and what the realistic boundaries are for interoperability, and will invite participants to consider which standards will likely align and which will remain distinct, both in the electricity/TSO/DSO domain and in the sector coupling/multi-commodity domain. Session panelists and participants will discuss the anticipated ways that system planning modeling will change in the next decade and how to future-proof interoperability.

Participants may include: NLR (Sienna/GDM), Princeton (GenX), VTT/Nodal Tools (CESM), TU Berlin (PyPSA), OET, Encoord, TZ, RTE, AFRY, Recognis, EPRI, Imperial College (OSeMOSYS), ENTSO-E, SOPTIM (CGMES), Sylvan

Energy systems are undergoing rapid transformation as sector coupling intensifies and variable renewable generation grows, creating a pressing need for flexible and transparent modeling tools. While many open-source frameworks offer rich features, extending them with new mathematical models typically requires writing custom software, a barrier for many analysts.

We present GEMS (Generic Energy Systems Modelling Schema), a high-level modelling language designed to make multi-energy system adequacy and planning studies both more expressive and more accessible. GEMS brings model definitions out of the codebase and into simple YAML configuration files, where users describe variables, parameters, and constraints using natural mathematical expressions. These expressions are parsed into abstract syntax trees and automatically expanded into a complete optimization problem. This model-agnostic architecture enables rapid experimentation, lowers development and maintenance costs, and promotes true reusability: adding a new model requires no code, only data. The language is already supported in Antares Simulator and in the Python package GemsPy.

Modern grid control systems require interoperable, scalable, and vendor-neutral data infrastructures. While CIM/CGMES has become the standard exchange format for power system models, many implementations still treat it primarily as a file format instead of a semantic data platform.

This session presents practical experiences from building modern utility control system components using RDF, SHACL, SPARQL, Apache Jena, and open-source tooling. We will show how semantic technologies can evolve from offline model exchange into high-performance, real-time knowledge graph infrastructures for power systems.

Topics include high-performance in-memory RDF graph processing, SHACL validation for operational grid models, lessons learned from Apache Jena internals, and the development of open-source tooling such as RDFArchitect and OpenCGMES.

The session shares real-world insights from developing software for transmission system operators and discusses how open semantic infrastructures can support interoperable and future-proof digital energy systems.

Synchronous generation retires and renewable, converter-interfaced resources increase, modern power systems face new operational challenges. High penetration of HVDC connections, large volumes of solar and wind generation are reshaping the grid. System operators need to modernize their control rooms. p-SWAMP (Power Stability Wide Area Monitoring Protection) provides an open extensible Research & Development for future Wide Area Monitor System (WAMS). A cloud-native, open-source platform where new concepts can be integrated and demonstrated to users in a setting mimicking actual control rooms. Statnett, the Transmission System Operator (TSO) in Norway uses an open -source collaboration platform called Statnett RnDP, serves as an integration platform for p-SWAMP, RnDP contains a timeseries database to hold Phase Measurement Unit Data, for analysis and simulate Kafka streams needed. RnDP offers Jupyter, Grafana and more user interfaces, the user can control their own pods. All run on Kubernetes cluster with Kyverno for policy control, Rook/Ceph for storage and Linkerd for network observability (MtM). Harbour for hosting images allows to use Trivy for vulnerability scanning.

Distribution system operators (DSOs) must manage increasingly complex grids with renewable generation, electrification, sector coupling, and active assets, especially at the low voltage level. Today’s grid control systems, however, are often monolithic, proprietary, and hard to extend, limiting interoperability and innovation. OpenEnergyTwin addresses this issue as an open source reference implementation for modular grid control systems. It provides a modular, event-driven digital twin infrastructure, capable of integrating all grid levels of a DSO, thereby creating a runtime environment for next-generation grid control services, including AI-based assistance and automation. The platform connects operational technology to a CIM-based digital twin core through flexible protocol adapters for topology, measurements, and state assessment, and exposes standardized interfaces for HMIs, alerting, forecasting, and control applications. Using publish-subscribe communication and CIM/JSON-LD, OpenEnergyTwin enables event-driven, standardized data exchange across all services. This talk presents key results of the research project, in which the OpenEnergyTwin platform has been developed.

The increasing complexity of energy systems calls for new approaches to design, develop, and operate secure and interoperable Digital Twins across heterogeneous environments.
Within the IPCEI-CIS AVANT project, DT4ENERGY is developed as an open platform enabling the creation of Digital Twins for energy systems, supporting real-time monitoring, simulation, and data-driven services. It provides a modular and extensible foundation for integrating distributed data, models, and applications, while ensuring interoperability and enabling the scalable deployment of AI capabilities.
In this session we present DT4EC, a real-world implementation for Energy Communities, demonstrating how DT4ENERGY supports operational use cases. DT4EC integrates Machine Learning models for day-ahead production and consumption prediction, as well as self-consumption optimization, combined with Generative AI services for KPI analysis, explainability and decision support.
By sharing implementation insights, this session shows how open Digital Twin platforms can move from architecture to operation, enabling secure, interoperable, and AI-driven energy applications, with DT4EC as a concrete and validated example.

While the world depends on the unimpaired generation and transmission of electrical power, the systems controlling the critical services stay – from a security point of view – often in the shadows. Many assumptions of the past – especially in times of fast redispatch – need to be challenged, and the communication systems have to be monitored more closely. You will learn from real world cases and successful attacks the necessity of looking deeper into the communication of every system to system of systems, from substations up to the control room. The German Federal Office for Information Security (BSI) is supporting the usage of the Open-source Framework Malcolm in several ways, and this talk will show you the benefits by adopting it.

The Cyber Resilience Act (CRA) and NIS2 directive impose stringent cybersecurity obligations on industrial deployments, leaving organizations to navigate complex requirements around vulnerability management and supply chain transparency. For LF Energy projects, the challenge is to actively facilitate compliance for downstream users.

Building directly upon the foundations presented at the LF Energy Summit 2025 regarding SBOMs and vulnerabilities in SEAPATH, this session demonstrates how the project proactively addresses European regulations to alleviate the compliance burden on industrial users.

We will detail the implementation of robust security practices: restricted reporting channels, clear security governance guidelines, and automated SBOM generation. Furthermore, we will highlight the integration of VulnScout an open-source vulnerability analysis tool within SEAPATH’s CI pipeline for real-time tracking. Attendees will gain a clear blueprint of how open-source projects can deliver pre-packaged compliance artifacts.

The European energy grid's modernization embeds physical and digital "kill switches" within smart assets and their software supply chains.
True digital sovereignty cannot be purchased as a proprietary product; it is an ongoing operational discipline. In this session we will dissect how the principles of open source, open standards, and reproducible builds directly mitigate the risk of both physical and logical kill switches. We will move beyond the theoretical to explore the concrete architectural patterns required to build a "Sovereign Stack" for energy systems, providing real examples. Specifically, we will demonstrate how to enforce:
Supply Chain Attestation: Generating and validating cryptographically signed Software Bills of Materials (SBOMs) from source to production edge.
Immutable and Reproducible Edge Environments: Ensuring that operating systems and container platforms deployed on grid edge nodes can be fully audited, rebuilt from source, and run completely air-gapped.
Decoupled Control Planes: Architectural designs that separate software delivery from operational runtime, ensuring that a vendor cannot unilaterally "kill the switch" on a running grid system.