Grydnova – KI-gestützte Netzplanung für zukunftssichere Stromnetze
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AI-powered grid planning for future-proof power grids

Plan network expansion smarter, faster and more cost-effectively with the digital twin of your power network.

  • 100% transparency across all networks
  • Over 30% potential for savings in grid expansion
  • Expert-guided project process

The energy transition poses a challenge for the distribution grid.

Increasing electrification, volatile feed-in, and decentralized generation are pushing existing distribution grids to their limits. Without digital transparency, planning becomes a matter of flying blind.

  • Local peak loads caused by e-mobility and heat pumps
  • Volatile PV feed-in and bidirectional flows
  • Lack of visibility in the low-voltage grid
  • High effort and uncertainty in grid expansion planning

Grydnova: The AI-powered planning tool for your distribution grid

Grydnova provides the digital foundation for grid expansion and planning:

  • 100% Grid Transparency – From Current State to 2050
  • Cost-efficient planning – potential savings of up to 30%
  • AI-powered scenario analysis – Realistic forecasts and action planning
  • Interoperable and exportable – Seamlessly integrable into your systems
  • Expert-led implementation – from data preparation to risk analysis

Your roadmap from the pile of raw data to a resilient network expansion strategy

Grydnova transforms heterogeneous grid and consumption data into a reliable basis for decision-making. Instead of isolated assessments, you receive a comprehensive, quantifiable model—a digital twin—that enables you to prioritize measures, justify investments, and demonstrate compliance with regulatory requirements. Our method combines GIS topology, physically accurate load-flow analysis, and AI-driven development models into a reproducible planning process.

From data to a digitized grid – how Grydnova works, step by step.

1. Digital Twin
Your physical power grid is modeled as a georeferenced, topologically correct digital twin, simultaneously serving as the foundation for monitoring and scenario analysis.

2. Load Flow Analysis
Physically accurate calculation of current loads and limit violations – visualized and easy to understand.

3. Development Models
AI models simulate the ramp-up of PV, e-mobility, and heat pumps – down to the individual grid connection point – through to 2050.

4. Scenario Simulation
Simulate load and feed-in scenarios with 15-minute resolution for up to one year, including risk and impact analysis.

GRYDNOVA: FOR A FUTURE-PROOF, STABLE DISTRIBUTION GRID.

Transform complex networks into transparent, plannable systems – with the power of AI and data science.

Your tangible and measurable gain with Grydnova

Strategic Added Value
With Grydnova, grid operators and municipal utilities gain a strategic tool that combines short-term operational reliability with long-term capacity planning. Our analyses do more than just identify current bottlenecks; they provide a robust projection through 2050, helping you avoid costly over-dimensioning and cost-effectively leverage flexibility potential—such as storage, load balancing, and targeted grid expansion measures.

Operational benefit
Operationally, Grydnova reduces manual effort and increases the speed and traceability of your planning. Typical operational results:

-Capacity and risk maps for integration into investment planning and municipal heat and mobility planning

-Exportable network models (Shape, CSV) for further use in SCADA/MDM projects

-Calibrated load-flow status reports, including limit violations and prioritization of measures

Cost-Efficiency & Governance
By combining AI-based forecasting with physically accurate simulation, you reduce planning and execution costs. Proven potential savings in grid expansion exceed 30%. At the same time, you generate transparent documentation for audits, funding applications, and political decision-making processes.

Ready for a verifiable advantage?

Schedule an appointment today.

We will show you the network model, typical congestion maps, and a sample scenario simulation for your distribution network.

    Interested?
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