Funding ask
Sales and business relationship specialist contract, engineers salaries, staff travel to a test industrial/government object, hardware.
AI-powered operational digital twin for real-time voltage regulation and transmission grid stability
AI-powered operational digital twin for real-time voltage regulation and transmission grid stability
An AI-powered operational digital twin continuously models the physical behavior of the grid (including solar energy grids) and monitors real-time conditions. The platform predicts instability, analyzes potential failure scenarios, and recommends optimal corrective actions to maintain voltage stability and prevent cascading disruptions. By combining physics-based simulation with AI-driven control optimization, the system transforms grid monitoring into proactive operational management. Project was developed by our in-house team. MVP completed. We are currently in the Pilot / Beta Testing phase, onboarding initial real users to validate the product and collect operational feedback before full commercial launch.
Economic Impact:
- Operational Loss Reduction 2% – 4%
- Asset Life Extension 8% – 12%
- Deferred CAPEX +15% Virtual Capacity
- Avoided Downtime 15% – 25%
Estimated payback period is 18–24 months, driven by reduced operational energy waste and avoided emergency maintenance costs.
Team Member
Sales and business relationship specialist contract, engineers salaries, staff travel to a test industrial/government object, hardware.
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