UMUSHINGA AI
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The Platform

From fragmented data to predictive, actionable risk intelligence

We are adapting UMUSHINGA to electricity-grid resilience by integrating climate forecasts, satellite and geospatial information with grid infrastructure and operational data — to anticipate exposure, identify vulnerable assets, prioritize preventive interventions, and improve field-team safety and response.

How It Works

Data in. Intelligence out.

Data Inputs

  • Climate & Weather Data
  • Satellite Imagery
  • Geospatial Datasets
  • Field-Level Data

Intelligence Layer

  • AI & Predictive Analytics

Risk Intelligence

  • Risk Mapping
  • Early Warning
  • Decision Support

Actionable Intelligence

Three questions, one decision layer

Rather than simply displaying weather data, satellite imagery or maps, UMUSHINGA connects these sources through AI and spatial analytics to drive action.

WHERE is the risk?

Identify vulnerable grid assets and geographic areas exposed to extreme weather.

WHEN is it likely to occur?

Anticipate the timing of exposure using climate forecasts and predictive models.

WHAT action should be prioritized?

Recommend preventive interventions to protect assets and field teams.

EDP Future Grids Pilot

Focused start. Validate. Measure value. Scale.

Our proposed EDP pilot starts with a focused geography or asset class, validates the predictive risk model against historical and real-world events, and measures operational value before scaling to wider EDP markets.

Step 1

Focused Start

Establish a working pilot scoped to one EDP grid environment.

Key Activities

  • Select pilot site & asset class with EDP
  • Deploy climate, satellite & geospatial data feeds
  • Configure AI risk models for the region

Outcome

A live, focused pilot generating real risk intelligence for one EDP grid environment.

Step 2

Validate

Prove the model's predictive accuracy against real grid conditions.

Key Activities

  • Integrate field sensors & grid operational data
  • Test predictive model against historical incidents
  • Calibrate outputs with EDP field teams

Outcome

A validated risk model EDP teams can trust for early-warning decisions.

Step 3

Measure Value

Quantify the pilot's operational and safety impact.

Key Activities

  • Track prevented downtime & response times
  • Document field-safety & maintenance gains
  • Build performance & reporting dashboards

Outcome

Clear evidence of value to guide EDP's scale-up decision.

Step 4

Scale

Extend the proven pilot across EDP's wider network.

Key Activities

  • Extend to additional substations & asset classes
  • Integrate with EDP's grid management systems
  • Train EDP teams on platform operations

Outcome

UMUSHINGA embedded as a standing resilience layer across EDP's grid.