GRID-FLEX
Forecast congestion before it happens, quantify flexibility needs and support smarter day-ahead decisions for local grid operations.
Day-ahead forecasting
Predict local grid load and identify expected stress before it becomes operational.
Congestion visibility
Detect critical windows and prioritise the assets that require attention first.
Flexibility planning
Estimate required flexibility in kW and kWh to support smarter local decisions.
From grid data to actionable flexibility intelligence.
GRID-FLEX is a data-driven software solution designed to improve visibility and decision-making in local electricity grids. It combines AI-powered day-ahead forecasting, explainable analytics and grid-aware indicators to help operators understand where congestion may occur, when flexibility is needed and how much flexibility should be planned.
Instead of delivering isolated forecasts, GRID-FLEX turns operational data into clear decision support: forecasted load, congestion windows, confidence indicators and required flexibility in kW and kWh.
Local grids need earlier visibility, clearer priorities and measurable flexibility.
Distribution grids are becoming more complex due to electrification, electric vehicles, heat pumps, distributed generation and growing prosumer participation. GRID-FLEX supports this transition by enabling a proactive approach to low-voltage grid management, helping energy stakeholders move from manual screening and fragmented analysis to day-ahead intelligence, asset prioritisation and flexibility planning.
Forecast with confidence
Predict expected load at secondary substation or local grid level using AI-based forecasting models and confidence indicators.
Detect congestion windows
Identify when operational thresholds may be exceeded and focus technical attention on the most relevant time windows.
Estimate flexibility needs
Quantify the required flexibility in kW and kWh to support planning, coordination and data-driven grid resilience.
Designed for DSOs and flexibility-oriented energy stakeholders.
GRID-FLEX helps reduce the time required to screen large portfolios of local grid assets by focusing attention on substations and time windows that matter most. This supports faster technical assessment, better prioritisation of flexibility actions and more efficient use of engineering resources.
The solution is designed to scale from pilot projects to recurring SaaS/API deployments, supporting grid digitalisation, flexibility readiness and resilience planning.
Make local grid flexibility actionable.
GRID-FLEX helps energy stakeholders anticipate congestion, plan flexibility and act earlier with greater confidence. Discover how AI-powered local grid intelligence can support smarter and more resilient energy networks.