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15 - 16 September | Berlin, Germany
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Venue: Waldbühne clear filter
Tuesday, September 15
 

10:30 CEST

PowSyBl: TSO Cooperation Through Building Blocks - Nicolas Omont, Artelys & Alice Caron, RTE
Tuesday September 15, 2026 10:30 - 11:00 CEST
During the last years, the PowSyBl ecosystem has expanded in many directions around the core module dedicated to grid data management, allowing the collaboration of an increasing number of organisations. As the workhorse of power systems, Open Load Flow is leading the adoption cycle with live projects for load flow, security analysis or sensitivity analysis at many TSOs and Coordination Centers. The advanced optimization tool OpenRAO is also a leading operational remedial action optimizer in Europe. Beyond computation modules, many users also adopted PowSyBl thanks to its easiness of use in day-to-day scripting through the python interface, and to grid and substation visualization features. The technical ecosystem is also widening with projects like the dynamic simulation module Dynawo and the grid study platform GridSuite. These last projects are open-source and are an open invitation to start cooperation. The session will provide an overview of the ecosystem, providing, for each module, the main features and use cases, the maturity status, and the roadmap. Eventually, through some examples, the way PowSyBl governance allows to start new cooperations will be presented.
Speakers
avatar for Nicolas Omont

Nicolas Omont

VP Operations, Artelys
Nicolas Omont has more than 15 years of experience in Power Systems computation as an expert and a project manager. At Artelys and at RTE R&D department, he managed R&D projects to develop Power Systems tools for CIM CGMES data management, security analysis, remedial action optimization... Read More →
avatar for Alice Caron

Alice Caron

Powsybl product owner, RTE
Work at RTE in the software development department. Started as a developer and then tech lead for 4 years and now working on the Powsybl project for 1year now as a product owner.
Tuesday September 15, 2026 10:30 - 11:00 CEST
Waldbühne

11:05 CEST

PowSyBl: A Service Provider Business Model - Nicolas Omont, Artelys
Tuesday September 15, 2026 11:05 - 11:15 CEST
This session presents Artelys' vision of a sustainable business model around the PowSyBl open-source framework for power system modelling.

The approach relies on a clear separation between strategic governance, technical steering and community contributions, enabling transparency and alignment across stakeholders (TSOs, RCCs, utilities, vendors). The roadmap is not imposed by a vendor but co-defined by contributors and users, who can influence priorities through governance bodies and structured collaboration.

From a business perspective, value is created through services: integration, custom developments, and especially long-term support & maintenance of shared modules. This model leverages mutualization: several users co-finance core components, ensuring sustainability of complex software while avoiding vendor lock-in.

The session will illustrate how open-source approach enables both flexibility for individual projects and efficiency at ecosystem scale.
Speakers
avatar for Nicolas Omont

Nicolas Omont

VP Operations, Artelys
Nicolas Omont has more than 15 years of experience in Power Systems computation as an expert and a project manager. At Artelys and at RTE R&D department, he managed R&D projects to develop Power Systems tools for CIM CGMES data management, security analysis, remedial action optimization... Read More →
Tuesday September 15, 2026 11:05 - 11:15 CEST
Waldbühne

11:15 CEST

Generation and Load Interconnection Studies in the US Using PowSyBl - Dio Stamatiadis, Piq Energy
Tuesday September 15, 2026 11:15 - 11:25 CEST
Capacity screening studies help US generation and large-load developers evaluate project size against available network capacity. Once a project size is selected, system impact studies determine project-specific impacts and upgrade costs. Developers often need to run tens or hundreds of sensitivities to understand risk, compare sites, and navigate the interconnection process, making scale, speed, and accuracy critical. In the US, these studies are most commonly performed with commercial planning software. While open-source alternatives exist, they are still rarely used in industry-grade workflows.

We will show how we are incorporating PowSyBl into our power system analysis platform as an alternative engine for US studies. We will cover why we selected PowSyBl after evaluating other open-source options, what it took to adapt it to US planning conventions, how its results compare with commercial tools, and lessons learned bringing open-source power-system analysis into production workflows. We will also discuss where we plan to extend its use next, including broader study coverage, deeper workflow integration, and contributions back to the ecosystem.
Speakers
avatar for Dio Stamatiadis

Dio Stamatiadis

Co-Founder and Chief Engineer, Piq Energy
Dio is co-founder and chief engineer at piq energy, where he builds power system analysis software for grid connection, renewable energy, large-load, and data centre integration studies. He has over 10 years of experience across power systems, automation, cloud infrastructure, data... Read More →
Tuesday September 15, 2026 11:15 - 11:25 CEST
Waldbühne

11:25 CEST

How To Industrialize an Open Source Approach Around PowSyBl - Régis Le Drézen, Agnès Triponel & Sébastien Dinot, Sopra Steria
Tuesday September 15, 2026 11:25 - 11:35 CEST
Transmission system operators face structural challenges: sovereignty, security, safety, efficiency, digitalization …
In this session, Sopra Steria shares a practitioner’s journey of embedding LF Energy’s PowSyBl into a real TSO production program for RTE. We cover two concrete contributions shipped to the open source community: decoupling the network-viewer component from any frontend framework (React/Angular agnostic), enabling simultaneous dual-value display (P active and Q reactive) on grid lines. Beyond the code, we discuss how an IT company structures its OSPO, open source governance (Licence Rules Book), and the cultural shift required to move from “consumer” to “contributor” in a critical infrastructure context.
Speakers
avatar for Régis Le Drézen

Régis Le Drézen

Partner Energy, Sopra Steria
Régis Le Drézen is a recognized expert in smart grids and energy transition. With over 20 years of experience at EDF, RTE and Enedis, he has led major innovation and infrastructure programs, including Smart Grid Vendée and e-mobility initiatives. Former Managing Director of Think... Read More →
avatar for Sébastien Dinot

Sébastien Dinot

Free and Open Source Expert, CS – Sopra Steria
Sébastien Dinot has been involved in open source software since 1998. He provides CS GROUP’s teams and clients with support across the four dimensions—technical, legal, social, and economic—of open source software. He helps them publish their open source projects, develop their... Read More →
avatar for Agnès Triponel

Agnès Triponel

Scrum Master and Operational Project Manager, Sopra Steria
Scrum Master and project manager with 4 years of experience, I have built my career working on data, network, and cybersecurity projects, notably with major energy players such as Enedis and RTE. I operate in environments where agility plays a central role, often at the heart of transformations... Read More →
Tuesday September 15, 2026 11:25 - 11:35 CEST
Waldbühne

11:40 CEST

Scaling Grid Security With Open Source - Hugo Pfister & Jorn van der Landen, TenneT Netherlands
Tuesday September 15, 2026 11:40 - 12:10 CEST
The power grid is changing fast, and the systems behind it are under pressure. More data, tighter timeframes, increasing congestion, and regulatory requirements are pushing traditional grid security tools beyond their limits. At TenneT Netherlands, legacy tooling was simply no longer fast and adaptable enough to keep up with this new reality.

By combining the open source PowSyBl framework with a cloud-native orchestration platform (ReFlow), TenneT rebuilt its grid security analysis from the ground up. The result is a step change in performance and capability: reducing calculation runtimes from minutes to seconds and enabling a fundamentally different way of working.

This session will show how we:

- Moved from monolithic legacy tooling to a modular, scalable architecture
- Used open source to accelerate delivery and avoid vendor lock-in
- Established what it takes to run open source in a mission-critical environment
- Strengthened operator support by providing an integrated view across analyses through modular design
Speakers
avatar for Hugo Pfister

Hugo Pfister

Manager Systems & Markets, TenneT Netherlands
Hugo Pfister is a people and technology leader at TenneT Netherlands, focused on simplifying complexity in mission-critical systems to enable effective, scalable, and innovative ways of working. He is an active open source advocate, driving adoption within TenneT and across international... Read More →
avatar for Jorn van der Landen

Jorn van der Landen

Business IT Specialist, TenneT Netherlands
I work as a Business IT Specialist within the Grid Security domain at TenneT, where I focus on connecting business, IT, and innovation. I am passionate about driving new technological developments and believe in a fit-for-purpose approach, where capabilities, flexibility, and speed... Read More →
Tuesday September 15, 2026 11:40 - 12:10 CEST
Waldbühne

13:45 CEST

How To Orchestrate RL Agents for Topological Remedial Actions Using PowSyBl’s Operator Strategy - Harald Jendrian, TUM School of Engineering and Design
Tuesday September 15, 2026 13:45 - 14:15 CEST
We bring LF Energy's PowSyBl into the control room as a decision support tool, combining grid analysis with Reinforcement Learning to solve post-contingency problems immediately. Increasing complexity amplifies overloads, demanding corrective actions beyond what manual operator heuristics and existing tools can deliver in time. Open-source RL agents backed by PowSyBl learn curative topology reconfigurations for the Simbench EHV network in Node-Breaker representation. Agents observe bus voltages, line loadings, injection profiles, and switching states. The action space controls breakers and disconnectors via valid action masks for node splitting, busbar re-assignment, and line (dis)connection. Remedial actions are injected as Operator Strategy actions inside PowSyBl's Security Analysis, faithfully reproducing N-1 assessment in training. We discuss reward design, bonuses, penalties, and action-masking. The talk ends with a live demo: a Leaflet map with colour-coded loadings, interactive single-line diagrams, forecast plots, and a control panel triggering Security Analysis and visualising corrective actions via PowSyBl's Operator Strategy in real time.
Speakers
avatar for Harald Jendrian

Harald Jendrian

Scientific Staff & Founding Engineer, TUM School of Engineering and Design
With a strong background in power systems, Harald is currently working on Reinforcement Learning applications for transmission grid operation. At Nodus Software, he helps TSOs and DSOs with the deeper integration of the next generation of grid analysis tools. At TUM, he focuses on... Read More →
Tuesday September 15, 2026 13:45 - 14:15 CEST
Waldbühne

14:20 CEST

AINETUS - AI for Safety-Critical Network Infrastructures - Gil Sampaio, INESC TEC
Tuesday September 15, 2026 14:20 - 14:30 CEST
This talk will present the LF Energy project AINETUS, which implements AI-based decision-support (AI assistant) capabilities for power system operations, addressing the increasing complexity of modern grids driven by high levels of renewable energy integration. Traditional tools are often limited in their ability to anticipate system dynamics and support operators under rapidly changing conditions. AINETUS tackles this gap by combining data-driven techniques with domain knowledge to provide proactive, explainable, and operator-centric support.
It will show a set of components designed to work together or independently within existing operational environments, in particular: (1) Human-AI interaction tools that enhance situational awareness. (2) Reinforcement learning agents that identify optimal operational strategies, capable of adapting to evolving grid conditions while respecting physical constraints.
(3) Explainability tools and uncertainty estimation that help to provide transparent recommendations to support informed decision-making.
AINETUS is designed to integrate with existing platforms and workflows, leveraging environments such as Grid2Op for training and validation.
Speakers
avatar for Gil Sampaio

Gil Sampaio

Mr., INESC TEC
R&D Engineer and Area Manager at the Center for Power and Energy Systems (CPES) at INESC TEC, where he works on advanced solutions for smart grid operation, monitoring, and automation. His research focuses on data-driven methods, AI applications for power systems, and the integration... Read More →
Tuesday September 15, 2026 14:20 - 14:30 CEST
Waldbühne

14:30 CEST

Towards Industrial Grid Foundation Models With PowSyBl and GridFM - Nicolas Lair, Artelys
Tuesday September 15, 2026 14:30 - 14:40 CEST
This lightning talk presents the integration of the PowSyBl framework into the datakit of GridFM, two flagship LF Energy projects, to bridge foundation models and industrial-grade power system simulation. GridFM relies on large-scale synthetic data generation, such as load flows, to train a foundation model, where training data quality directly impacts model performance during inference.
The integration of PowSyBl brings several key benefits. It extends GridFM to realistic and industrial-grade network models by supporting multiple formats (CIM, CGMES, PSS/E), enabling the use of richer and more representative datasets. It provides access to an industrial-grade load flow solver through Open Load Flow, improving the physical consistency and accuracy of generated data. Finally, it enables the generation of dynamic simulation data through Dynawo, opening the way to foundation models trained on both static and dynamic grid behaviours.
Overall, this integration is a key step toward the industrialization of grid foundation models, enabling their application to real-world power system studies.
Speakers
avatar for Nicolas Lair

Nicolas Lair

AI Project Director, Artelys
Nicolas Lair is an AI & Data Science Project Manager at Artelys, specializing in the application of AI, optimization, and advanced analytics to complex systems, particularly in the energy sector. He holds an engineering degree from École Polytechnique and a PhD in computer science... Read More →
Tuesday September 15, 2026 14:30 - 14:40 CEST
Waldbühne

14:40 CEST

OpenSynth Dataset Extension - RTE7K Challenge - Pierre Olivier Cayetanot, CRESYM & Josh Cooney Mercadal, eRoots Analytics
Tuesday September 15, 2026 14:40 - 14:50 CEST
Last year, the LF Energy project OpenSynth expanded with the launch of D-GITT, an open data hub featuring RTE7K: a dataset of the whole French transmission grid, including topological changes over three years. Striking the interest of other actors in opening their own dataset, RTE7K demonstrated its values as a realistic, open benchmark for grid analysis.

Now, RTE, CRESYM, eRoots and IRT SystemX joined forces to launch the RTE7K Challenges, a series of challenges centered around the dataset. The first one, kicking off at this summit, focuses on tackling the "missing piece" for running powerflows on the RTE7K dataset: power injection data. Participants are tasked with producing realistic, synthetic injections using whatever public data and methodology they can come up with. As well as being an enticing challenge for participants, the outcome will be a critical extension to RTE7K that will enable further users to test and validate tools using data comparable to what was previously exclusive to TSOs.

Future challenges will explore topics like AI-driven grid topology management, power flow analysis and more, pushing the boundaries of what’s possible with open grid data.
Speakers
avatar for Josh Cooney Mercadal

Josh Cooney Mercadal

Power Systems Engineer, eRoots Analytics
Josh is a power systems engineer based in Barcelona with eRoots Analytics. He is applying his background in high energy physics to the modelling of large grids eRoots Analytics.
avatar for Pierre Olivier Cayetanot

Pierre Olivier Cayetanot

IT Asset & Project Manager, CRESYM
IT Asset and Project Manager at CRESYM, I bridge data engineering and energy systems to advance open-source solutions.

Previously, I worked on DevOps at ENTSO-E, DSO-TSO grid merging as well as an internal OpenSTEF implementation at RTE International.

Now, I drive FOSS projects to accelerate the energy transition... Read More →
Tuesday September 15, 2026 14:40 - 14:50 CEST
Waldbühne

15:20 CEST

Towards GridFM: GENCO – a Unified Neural Solver for Steady-state Grid Analysis - Speakers to Be Announced
Tuesday September 15, 2026 15:20 - 15:50 CEST
Last year, we introduced a basic Grid Foundation Model (GridFM) for power flow. This year we released GENCO – the GEometric Neural Corrective Optimizer, a neural solver for steady-state transmission-grid analysis. It unifies three grid-analysis tasks that are typically handled by separate pipelines: power flow (PF), optimal power flow (OPF), and state estimation (SE). GENCO represents the grid as a heterogeneous graph and iteratively refines solutions using task-specific physical decoders, box constraints, and explicit power-balance residuals. GENCO achieves state-of-the-art performance against specialized model baselines and classical solvers, with 5× and 200× speedup for AC-PF and AC-OPF respectively, as well as improved robustness in SE under sparse observability conditions. Beyond the model, we released gridfm-datakit for realistic grid data generation, gridfm-graphkit for low-code training and evaluation, and benchmark datasets spanning PF and OPF instances. By unifying model architecture, data generation, training, inference, and benchmarking, this end-to-end framework shortens innovation cycles and reduces integration efforts for the LFE community.
Speakers
avatar for Alban Puech

Alban Puech

PhD candidate, IBM Research
Alban Puech is a PhD candidate at IBM Research and ETH Zurich, developing GENCO. He is a lead contributor to the Linux Foundation’s GridFM project. He previously conducted visiting research at Harvard in Prof. Xie’s lab and holds an M.S. from EPFL and a B.S. in Mathematics and... Read More →
Tuesday September 15, 2026 15:20 - 15:50 CEST
Waldbühne

15:55 CEST

From Open Data To Foundation Models: Building GridSFM for Power Grid Analysis - Andrea Britto Mattos Lima, Microsoft Research
Tuesday September 15, 2026 15:55 - 16:25 CEST
We present GridSFM, an open-source dataset and foundation model that enables building and operating transmission-scale power grid models from open data to machine learning inference.

Starting from publicly available sources in the United States (OpenStreetMap, U.S. EIA, and U.S. Census), our pipeline constructs geographically grounded, AC-OPF-solvable U.S. power grid models at continental scale. Importantly, our modeling pipeline can be extended to other locations where similar open data is available.

On top of this data layer, GridSFM introduces a physics-informed foundation model trained across a diverse mix of grid topologies and operating scenarios to predict AC-OPF solutions in milliseconds, enabling fast feasibility screening and solver acceleration.

This session will walk through the full stack: from open data ingestion and model construction to ML training and deployment. We will share lessons learned building reproducible, large-scale grid datasets and integrating physics constraints into learning systems.
Speakers
avatar for Andrea Britto Mattos Lima

Andrea Britto Mattos Lima

Senior Research Software Engineer, Microsoft Research
Andrea Britto Mattos Lima holds B.Sc. and M.Sc. degrees in Computer Science from the Institute of Mathematics and Statistics at the University of São Paulo, Brazil. She joined Microsoft Research in 2021 and is currently part of the Catalyst Lab.
Tuesday September 15, 2026 15:55 - 16:25 CEST
Waldbühne

16:30 CEST

EnerGNN: A Graph Neural Network Library for Real-life Complex Energy Systems. - Balthazar Donon, RTE (Réseau de Transport d'Électricité)
Tuesday September 15, 2026 16:30 - 17:00 CEST
EnerGNN is an open-source python package that aims at bridging the gap between research on Graph Neural Networks (GNNs) and industrial operation of energy networks.

This package includes:
- A faithful and adaptive data representation tailored for large scale industrial systems made of interacting entities.
- A modular library of GNN implementations designed to handle such data.
- A clear interface for business-driven use-case.
- A modular training loop for training GNNs on your specific use-case.

It is the result of 8+ years of research at RTE (Réseau de Transport d'Électricité) and academical partners (Université Paris-Saclay & Université de Liège). It is currently being used for multiple use-cases at RTE, and has shown its ability to scale to the full HV-EHV French system, and to output meaningful and high-precision predictions.

This presentation aims at showing the potential of our open-source package EnerGNN, and to attract potential users and contributors to help us on the following topics :
- GNN acceleration, robustification and improvement,
- Application of EnerGNN to new use cases,
- Extension of EnerGNN to other industrial domains.
Speakers
avatar for Balthazar Donon

Balthazar Donon

Research Officer, RTE (Réseau de Transport d'Électricité)
Balthazar is a research officer at RTE (Réseau de Transport d’Électricité) Research & Development. He mainly works on designing an AI algorithm to help power grid operators.
He graduated from the École polytechnique and Stanford University. He obtained a PhD in Computer Science at Université Paris-Saclay and RTE R&D under the supervision of Isabelle Guyon, Marc Schoenauer, and Rémy Clément. He then worked as a postdoctoral researcher at the Unive... Read More →
Tuesday September 15, 2026 16:30 - 17:00 CEST
Waldbühne
 
Wednesday, September 16
 

10:30 CEST

The Rise of Software-Defined Charging: Maximizing Hardware Flexibility With EVerest - Marco Möller, Pionix
Wednesday September 16, 2026 10:30 - 11:00 CEST
The EV charging industry is undergoing a massive transformation, mirroring the broader tech shift toward Software-Defined Vehicles (SDV) and Software-Defined Networking (SDN). Welcome to the era of Software-Defined Charging (SDC).
Historically, charging stations were built using rigid hardware blocks, requiring separate microcontrollers for every new functional domain: from complex protocols (ISO 15118) to load balancing and UI. This fragmented, bare-metal architecture slows innovation, drives up BOM costs, and makes feature updates nearly impossible.

SDC changes the paradigm by decoupling hardware from software. By consolidating high-level logic onto a centralized computing unit, manufacturers can drastically reduce complexity and completely transform the product lifecycle. Instead of deploying static hardware that quickly ages out, SDC enables a continuous software lifecycle via over-the-air updates, keeping field assets relevant for years.

In this talk, we will explore how the open-source EVerest project acts as the operating engine for SDC, enabling the hardware ecosystem to mix-and-match physical components, build flexible satellite systems, and utilize digital twin testing.
Speakers
avatar for Marco Möller

Marco Möller

CEO, Pionix
Dr. Marco Möller is Co-founder and CEO of Pionix GmbH, an industry leader for EV Charger Software. He chairs the EVerest TSC at LFE EVerest and initiated the growing community of companies, agencies, utilities, universities, and governments worldwide that collectively create and... Read More →
Wednesday September 16, 2026 10:30 - 11:00 CEST
Waldbühne

11:05 CEST

CityLearn for Human-Centered Grid Flexibility - Ava Mohammadi, Eindhoven University of Technology (TU/e)
Wednesday September 16, 2026 11:05 - 11:15 CEST
As buildings become active participants in the energy transition, understanding flexibility at the building and occupant level is becoming increasingly important for addressing grid congestion challenges. While many energy system models rely on simplified representations, detailed grid-integrated building models can provide deeper insight into how HVAC systems, EV charging, distributed energy resources, and occupant behavior interact with the grid in practice.

This talk presents CityLearn as an open-source platform for studying coordinated energy flexibility strategies across buildings and districts. Recently integrated into the LF Energy community, CityLearn enables researchers and practitioners to explore how building dynamics and occupant-centric control approaches can reveal flexibility potential often overlooked in simplified representations. The session will discuss advanced control strategies for HVAC systems, electrical storage, EV charging, and occupant comfort, together with the importance of connecting detailed building intelligence with broader power grid modeling frameworks to better capture realistic building-grid interactions.
Speakers
avatar for Ava Mohammadi

Ava Mohammadi

PhD Researcher, Eindhoven University of Technology (TU/e)
Ava Mohammadi is a PhD researcher at Eindhoven University of Technology (TU/e) working on occupant-centric control strategies for building energy flexibility. Her research focuses on smart buildings, AI-driven control, and power system flexibility, with particular interest in human-centered... Read More →
Wednesday September 16, 2026 11:05 - 11:15 CEST
Waldbühne

11:15 CEST

Testing GEISA Conformance - Kévin L'hôpital, Savoir-faire Linux
Wednesday September 16, 2026 11:15 - 11:25 CEST
GEISA, the Grid Edge Interoperability and Security Alliance, is an effort within LF Energy to enable application interoperability in edge devices like smart meters and distribution automation devices. To ensure implementations comply with the specification, a dedicated conformance application has been developed to validate that the specification is correctly implemented on target hardware. In this talk, Kévin will present the role of the conformance application as well as the benefits to use and extend it.
Speakers
avatar for kévin L'hôpital

kévin L'hôpital

Embedded engineer, Savoir-faire Linux
Kevin is an embedded engineer working in Savoir-faire Linux in Rennes. He is mainly working on creating Yocto based distribution, kernel debugging, secure-boot implementation and creating media applications. He is the main contributor of the GEISA conformance test application.
Wednesday September 16, 2026 11:15 - 11:25 CEST
Waldbühne

11:25 CEST

AI-Audited: An Open Interface for Autonomous DER Agents on the Microgrid - Chris Xie, Futurewei; Arila Barnes, Energy IoT Open Source; Tony Shannon, Office of Government CIO; Holger Blasum, PVSmile
Wednesday September 16, 2026 11:25 - 11:35 CEST
We ran a comparative AI audit of the microgrid standards corpus — IEEE 2030.5, IEC 61850, CIM, OpenADR 3, ISO 15118, IEEE 1547, SunSpec — using Claude, Mistral, and a locally hosted model with identical prompts and metrics. This lightning talk shows the convergent findings: which clauses already cover AI-agent operation on DER, where the gaps are, and the v0 interface contract (GAIFARE) we drafted in the ORES repo to fill them — capability declaration, bounded authority, decision auditability, data governance. Prompts, metrics, and gap map are public.
Speakers
avatar for Tony Shannon

Tony Shannon

Head of Digital Services, Office of Government CIO
Qualified in Medicine in University College Dublin. Trained & worked in Emergency Medicine & Informatics x 20 years before current role in OGCIO.
Involved in a range of change/digital programmes & projects at local/regional/national/international levels over the last 20 years, i... Read More →
avatar for Holger Blasum

Holger Blasum

Developer, PVSmile
With a background in IT, Holger is member citizen energy cooperative UrStrom and supporting the research project PVSmile.
avatar for Chris Xie

Chris Xie

Head of Open Source Strategy, Futurewei
Chris Xie is Head of Open Source Strategy at Futurewei. He initiated and co-chairs the ORES Working Group at LF Energy and serves as chair and host of the GOSIM AI Vision Forum. He also founded the Open Source Congress and established and leads the SCER Working Group at the Green... Read More →
avatar for Arila Barnes

Arila Barnes

CEO, Energy IoT Open Source
Arila Barnes is the founder of Energy IoT Open Source, a 501 (3)(c) non-profit and leads the LF Energy Hyphae TSC. She has a tenure of leadership roles in the energy industry as VP of Engineering at Utilidata Inc (AI at the Grid Edge), Head of Software Innovation at Veloce Energy... Read More →
Wednesday September 16, 2026 11:25 - 11:35 CEST
Waldbühne

11:40 CEST

The Next Generation of Intelligent HEMS: A Self-Evolving Perspective - Rui Li & Xiaoke Yang, EcoFlow Inc.
Wednesday September 16, 2026 11:40 - 12:10 CEST
Home Energy Management Systems (HEMS) increasingly operate in non-stationary conditions: changing tariffs, evolving household behavior, new DER assets, and fragmented device ecosystems. Most current deployments still rely on static rules and periodically retrained models, which degrade under drift and are hard to maintain at scale.

This session presents a self-evolving HEMS architecture that closes the loop across three core tasks:
(1) classification for safety/reliability monitoring,
(2) regression for PV/load forecasting, and
(3) optimization that converts natural-language user goals into executable schedules.

An LLM-centered orchestration layer coordinates rule engines, ML models, user/context memory, and control APIs to support transparent interaction, adaptive decision-making, and continuous improvement. We share field-oriented case studies showing improved robustness in detection, better forecasting performance, and practical end-to-end scheduling execution.

The talk focuses on reusable architectural patterns and deployment lessons relevant to open, software-defined energy systems.
Speakers
avatar for Xiaoke Yang

Xiaoke Yang

Head of AI Foundation Models, EcoFlow Inc.
Xiaoke Yang is the Head of the AI Foundation Models at Ecoflow Inc., where he leads research and development of large-scale AI models for industrial applications. Previously, he worked as a senior engineer at Alibaba cloud, specializing in AI-driven solutions for complex systems... Read More →
avatar for Rui Li

Rui Li

AI Engineer, EcoFlow Inc.
Ricky (Rui) Li is an AI engineer at EcoFlow. With doctoral training at Tsinghua University, Ricky previously conducted research on smart energy systems and AI at Harvard University and Argonne National Laboratory.

Before joining EcoFlow, Ricky served as CTO at HET Hydrogen and as AI Scientist at Hyzon ( formerly NASDAQ: HYZN), where he led the R&D of AI solutions and MW-scale electrolysis systems. Earlier in his career at Tencent and Huawei, he specialized in RL and human–AI collaboratio... Read More →
Wednesday September 16, 2026 11:40 - 12:10 CEST
Waldbühne

13:45 CEST

Dynaωo for Large-Scale Power System Event Analysis: The 2025 Iberian Blackout - Marco Chiaramello; Gilles Aouizerate, Joy El Feghali & Florentine Rosiere, RTE
Wednesday September 16, 2026 13:45 - 14:15 CEST
On 28 April 2025, continental Spain and Portugal experienced a total blackout, while the rest of the European grid was largely unaffected. This most severe European blackout in over 20 years is analysed using a time-domain model of the Iberian system derived from an anonymised network snapshot. In its final report on the incident, ENTSO-E’s Expert Panel identifies LF Energy’s Dynaωo, an open-source, industrial-grade suite of simulation tools, as the basis for its independent voltage stability study. Simulations closely reproduce recorded measurements and clarify the roles of cross-border exchanges, TSO-DSO interactions, distributed renewable energy sources and limited reactive power margins in the voltage rise that triggered the cascade. The study highlights the value of relying on an open-source industrial tool and shows how Dynaωo has evolved into a robust, high-performance solution. The presentation will detail the modelling and simulation approach, key challenges, and the main insights gained on the 28 April 2025 events, demonstrating how Dynaωo delivers the level of transparency, reproducibility and scientific rigour now expected for the analysis of major power system events.
Speakers
avatar for Marco Chiaramello

Marco Chiaramello

Dr, R&D project manager, RTE, Réseau de Transport d’Électricité
Dr. Marco Chiaramello has worked in RTE’s R&D Department since 2017 and has led research on transmission grid modelling and simulation since 2023. His work addresses the transformation of power systems driven by HVDC links, advanced protection schemes, and power-electronic-interfaced... Read More →
avatar for Florentine Rosiere

Florentine Rosiere

R&D engineer, RTE
Florentine Rosiere is a Computer Engineer at RTE, where she contributes to the development of Dynawo, an open-source dynamic simulation suite used operationally for power system studies. With 15 years of experience in software engineering, she is involved in software design, implementation... Read More →
avatar for Gilles Aouizerate

Gilles Aouizerate

R&D Engineer, RTE
Gilles Aouizerate is a R&D Engineer at RTE, where he contributes to the development of Dynawo, an open-source dynamic simulation suite, used at an industrial scale. With 15 years of experience in simulation software development, he specializes in dynamic simulators for energy systems... Read More →
avatar for Joy El Feghali

Joy El Feghali

Research engineer in Power System modelling and simulation, RTE
Joy El Feghali holds a ph.D. degree in Control from Paris-Saclay University. She also holds a master’s degree in
control and signal processing from CentraleSupelec, Paris-Saclay University, and has an electrical engineering
background.
She currently works at the R&D department of RTE, the French TSO. She is mainly developing power system models for the Dynawo suite simulation tools for transient and converter stability studies using the Modelica language... Read More →
Wednesday September 16, 2026 13:45 - 14:15 CEST
Waldbühne

14:20 CEST

Presenting DyCoV - Streamlining Dynamic Model-validation and Performance Verification Using Dynawo - Jose Luis Marin, AIA
Wednesday September 16, 2026 14:20 - 14:50 CEST
DyCoV (Dynamic Compliance Verification) is an Open-Source tool built by RTE for bringing transparency to the process of verifying grid-code compliance of the dynamic behavior of new generation facilities. It contemplates both *electric performance* (i.e., "does the behavior pass the requirements?") and *generic model validation* (i.e., "does the model match the actual behavior?").

The tool builds upon Dynawo, RTE's Open-Source dynamic simulator, which in turn uses Open Modelica for its RMS models, including WECC and IEC generic models. This provides a fully transparent process for all stakeholders, thus avoiding the pitfalls of proprietary models and black-box tools. In addition, DyCoV removes the drudgery of measuring, comparing, and extracting all required KPIs from curves: rise/settling times, FRT responses, point-wise diffs, etc.

The tool is built with Python and structured as a series of independent tests, each producing its own report in PDF. The current tests correspond to RTE's connection grid code (DTR document), but DyCoV design uses templating (Jinja) and configuration files to make it easily adaptable to other grid codes, avoiding code changes as much as possible.
Speakers
avatar for Jose Luis Marin

Jose Luis Marin

Director, Enery Unit, AIA
PhD in Physics and EU Marie Curie fellow. Joined AIA and its US subsidiaries in 2005 to lead consulting projects in Power Systems, including R&D projects for NASA. He has contributed to algorithms, numerical computation, deployments at control centers, training, product documentation... Read More →
Wednesday September 16, 2026 14:20 - 14:50 CEST
Waldbühne

15:20 CEST

Batch N‑1 Power Flow Via Perturbation Methods - Georg Mensah, 50 Hertz/ Elia Group
Wednesday September 16, 2026 15:20 - 15:50 CEST
Modern AI for power flow and OPF is on the rise, but it will still require large amounts of trustworthy training data and strong conventional solvers for validation (“solver‑certified AI”). An important application are adjacent‑state studies needed for N‑1 screening and decision planning. This session argues that classic algorithms will not vanish, but must be redesigned for batch computation: solving many related grid states faster than repeated Newton-style runs. We reshape ideas from perturbation theory into a load-flow solver pattern that reuses structure across scenarios and maps well to parallelizable hardware. We introduce the key mathematics behind the approaches including the holomorphic embedding load flow method (HELM) and related methods. We then show how to turn them into an engineering workflow that can outperform repeated Newton-Raphson solves in high-throughput studies. We close with an open roadmap: an industrial‑grade implementation under development at 50Hertz/Elia Group and a clear invitation to collaborate on open interfaces, benchmarks, and integration with LF Energy tooling.
Speakers
avatar for Georg Mensah

Georg Mensah

Product Owner, 50 Hertz/ Elia Group
Georg Mensah specialized in efficient numerical algorithms. He graduated in 2018 with a Ph.D. in Engineering Science from TU Berlin. After a postdoc position at ETH Zürich, he worked for several years in the cloud‑based industrial simulation industry. Coming from gas turbine engineering... Read More →
Wednesday September 16, 2026 15:20 - 15:50 CEST
Waldbühne

15:55 CEST

Bringing the Industry Together Through LF Energy - A Power Grid Model Story - Peter Salemink, Alliander & Udo Schmitz, SOPTIM AG
Wednesday September 16, 2026 15:55 - 16:25 CEST
Power Grid Model is a high-performance, open-source calculation library built for advanced distribution system analysis.

This joint presentation by Alliander and SOPTIM tells a story of open source collaboration and innovation between a Grid Operator and Vendor within the LF Energy Power Grid Model (PGM) project.

Alliander—maintainer of the Power Grid Model project—and SOPTIM—a key contributor—have met each other at a LF Energy summit, which has led to a productive partnership, including shared development efforts, knowledge exchange, and the introduction of new features that enhance the capabilities of the model.

Overall, the presentation provides a tangible example of how open collaboration within LF Energy can drive innovation, strengthen ecosystems, and accelerate the development of open-source solutions for the energy sector, while also diving into the technical part of new features that support the various use cases at Alliander and SOPTIM.
Speakers
avatar for Peter Salemink

Peter Salemink

Product Owner, Alliander
Peter Salemink is a Senior Scientific Software Engineer at Alliander, a Dutch Distribution System Operator (DSO). As Product Owner and chair of the technical steering committee he is responsible for the daily development of Power Grid Model. He is also teaching at the Eindhoven University... Read More →
avatar for Udo Schmitz

Udo Schmitz

Chief Engineer Grid Analysis, SOPTIM AG
Specializes in developing open‑source and custom solutions for grid modeling and analysis. Contributor to Power Grid Model (PGM), co‑developer of the CGMES2PGM Converter, and maintainer of the Julia‑based power‑flow framework SPARLECTRA.jl. Experienced in Online State Estimation... Read More →
Wednesday September 16, 2026 15:55 - 16:25 CEST
Waldbühne

16:30 CEST

DC+: A Fast, Voltage-Aware Alternative To DC Load Flow - Benjamin Petrick, NEZK
Wednesday September 16, 2026 16:30 - 17:00 CEST
Grid operations are becoming fundamentally more complex. The classical DC load-flow worked well in the past, but its simplifying assumptions are increasingly violated in modern grids with high renewables, reactive power flows, and tighter operational margins.

DC+ is a voltage-sensitive linearization of the AC load flow that retains voltage magnitude, angles, and reactive power while remaining orders of magnitude faster than full AC solvers.
Conceptually, it corresponds to a single Newton step around the AC base case, capturing the direction and severity of violations far more accurately than classical DC, while scaling to millions of N‑1 evaluations per second on GPUs.

DC+ enables a new class of scalable, open optimization workflows:
Potential use cases of DC+ are:
- Fast contingency screening and ranking?
- Topology optimization with voltage awareness?
- Security constrained voltage Optimization?
Speakers
avatar for Benjamin Petrick

Benjamin Petrick

Electrical Engineer, NEZK
Background in electrical engineering and software engineering.
Wednesday September 16, 2026 16:30 - 17:00 CEST
Waldbühne
 
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