LF Energy, the Linux Foundation's programme for advancing digital infrastructure in the energy sector through collaborative open-source development, has secured $2.5 million from Google.org to accelerate deployment of grid management technologies across Europe over the next two years.

European power networks face unprecedented strain. Renewable generation, electrified heating systems, transport infrastructure and computing facilities demand far more capacity than existing grids were engineered to handle. Physical expansion through new transmission lines moves too slowly to match this growth. Grid operators must therefore extract maximum efficiency from their current infrastructure, a challenge that hinges on sophisticated observation, modelling and forecasting capabilities.

Rather than developing solutions from the ground up, the Google.org grant will expand four existing open-source projects designed to address Europe's specific grid challenges, with particular emphasis on supporting smaller operators and less-resourced regions that lack internal development capacity.

Four projects receiving support

  • OpenSynth: A data-sharing platform enabling researchers and planners to access realistic energy datasets while protecting customer privacy. The initiative includes 10 million AI-generated synthetic household load profiles and authentic French transmission grid topology data contributed by RTE, allowing stakeholders to model the impact of heat pumps, electric vehicles and solar installations on local networks.
  • PowSyBl: A flexible platform for analysing transmission systems that assists operators in managing network congestion and planning grid upgrades to accommodate new renewable connections. Production deployments by RTE in France and TenneT in the Netherlands demonstrate its value; TenneT achieved a tenfold performance improvement in calculation speed using a PowSyBl-based system developed in just five months.
  • Power Grid Model: A computational engine optimised for distribution-level analysis that processes thousands of scenarios simultaneously, enabling operators to identify where electric vehicle adoption, heating electrification and solar growth will create bottlenecks. The tool has surpassed 10 million downloads and is actively deployed and enhanced by Dutch operators Alliander, Enexis and Stedin.
  • OpenSTEF: A machine learning system that predicts electricity consumption and generation across timeframes ranging from minutes to days, giving operators advance warning of congestion and opportunities to activate flexible demand resources like EV charging infrastructure. Alliander employs it for congestion forecasting while Sigholm uses it to optimise district heating operations.

Beyond software development, the funding will support technical documentation, implementation guidance, educational programmes, workshops integrated with LF Energy Summit Europe, and translations into multiple European languages.

AI will only be as useful to grid operators as the data and models it is built on. This grant from Google.org via INCO invests in that foundation: open data, grid models and forecasting tools that operators across Europe can build on. Because the work is open source, its benefits reach every operator, not only those with the resources to develop these capabilities themselves.

Alex Thornton, executive director of LF Energy

Supporting a reliable, resilient power grid requires not just new physical infrastructure, but open digital tools that help operators get more out of the grid capacity we already have. Through this $2.5 million in Google.org funding to Linux Foundation Europe, we're proud to support LF Energy in scaling open source data, modelling and AI forecasting tools—helping grid operators of every size across Europe modernise grid planning and unlock more affordable, reliable, and clean energy for everyone.

Adam Elman, Director of Sustainability, EMEA at Google

Source: Tech.eu