Human expertise.
Amplified.

Explainable AI for
power grid operators.

Anticipate challenges. Understand your options.
Make the next decision with confidence.

Explore the code
AI assistantHuman operator
Explore the highlighted nodesIllustrative scenario

A shared effort, from research to the grid.

The story behind AINETUS

01 THE APPROACH

Complex grids.
Clearer decisions.

AI that works with operators.
From understanding the situation
to choosing what happens next.

01

Anticipate the next move.

Explore topology changes and redispatch with AI agents built for congestion management.

INTELLIGENT AGENTS
02

Understand the why.

Explanations and uncertainty estimates make recommendations easier to assess.

EXPLAINABLE AI
03

Keep people in control.

Bring context, recommendations, and operator judgement into one shared interface.

HUMAN–AI COLLABORATION

02 CONNECTED BY DESIGN

Part of your ecosystem.

Modular components. Open interfaces.
Built on the LF Energy ecosystem.

AINETUS architecture, simplifiedGrid2Op supplies context and events through APIs to InteractiveAI. AI agents evaluate actions in the grid environment and return recommendations through the API layer. Operators review recommendations in InteractiveAI and send decisions back.01 / ENVIRONMENT02 / INTELLIGENCE03 / INTERFACE04 / EXPERTGrid2OpAI agentsInteractiveAIOperatorSimulate & validateEvaluate possible actionsA shared view of the gridReview & decideContext + eventsRecommendationsOperator decisionsAPI CONNECTIONSHuman–AI dialogueOperatorFabric workflows
01 / ENVIRONMENTGrid2OpSimulate & validate
02 / INTELLIGENCEAI agentsEvaluate possible actions
Connected through APIs ↕
03 / INTERFACETHE OPERATOR EXPERIENCEInteractiveAIHuman–AI dialogue · OperatorFabric
04 / EXPERTOperatorReview, decide & give feedback
A continuous dialogue between the grid, AI, and people.Explore the technical foundation

03 FROM RESEARCH TO REALITY

See the
collaboration.

Follow an AI assistant as it helps an operator explore remedial actions in a power-grid demonstration.

AI4REALNET · Featured by LF Energy

04 THE ROAD AHEAD

Built together.
Moving forward.

From shared foundations to new applications.
The AINETUS project roadmap.

TSC KICK-OFF · JULY 2026Towards v2.x
AINETUS project roadmap: six milestones towards version 2.xThe published roadmap starts with the July 2026 Technical Steering Committee kick-off, followed by foundations, community launch, a study-mode assistant, a near-real-time assistant, new use cases, and collaborative validation. New datasets and benchmarks are developed throughout. Milestone completion dates are not specified.01MS1Lay the foundationsSet priorities, building blocks,and integration needs.Refine the architecture.02MS2Grow the communityLaunch the community withat least two new contributors.03MS3First AI assistantRelease a study-mode MVPfor specific operatingscenarios.04MS4Move towards real timeAssistant and task managerwith interactive AI, stress tests,and robustness evaluation.05MS5Explore new use casesIdentify new applications andAI-friendly digital environmentswith the Grid2Op project.06MS6Build, test, collaborateImplement new use cases.Bring people and AI togetherin competitions and hackathons.
  1. 01
    MS1

    Lay the foundations

    Set priorities, building blocks, and integration needs. Refine the architecture.

  2. 02
    MS2

    Grow the community

    Launch the community with at least two new contributors.

  3. 03
    MS3

    First AI assistant

    Release a study-mode MVP for specific operating scenarios.

  4. 04
    MS4

    Move towards real time

    Assistant and task manager with interactive AI, stress tests, and robustness evaluation.

  5. 05
    MS5

    Explore new use cases

    Identify new applications and AI-friendly digital environments with the Grid2Op project.

  6. 06
    MS6

    Build, test, collaborate

    Implement new use cases. Bring people and AI together in competitions and hackathons.

Along the wayNew datasets. Better benchmarks.
Published milestone sequence · Timing and completion may evolve.Roadmap on LF Energy

05 OPEN SOURCE. SHARED PROGRESS.

The next chapter
is open.

For grid operators, AI researchers, and builders.
Explore the tools. Bring your expertise.

Join us on GitHub
THE OPERATOR EXPERIENCEInteractiveAIAn interactive assistant for real-time operations.DOMAIN EXPERTISE IN CODEExpertOp4GridExpert-guided topology actions for power grids.CONFIDENCE IN THE FORECASTUncertainty predictionConformal prediction for line-loading forecasts.Discover all repositories