Predictive Intelligence for Electrical Networks in action.

Grid Sentinel supports a range of operational scenarios for electric distribution utilities — from vegetation management to storm preparedness.

Request Demo

Seven core use cases for distribution utilities.

Vegetation Management

Identify sectors where vegetation may represent higher exposure to distribution infrastructure.

  • Satellite-derived vegetation proximity mapping
  • Right-of-way exposure classification
  • Pruning prioritization by risk level
  • Field crew deployment planning
  • Vegetation growth trend analysis
Vegetation Management Managers · Field Inspection Teams

Storm Preparedness

Analyze segments with the highest exposure under wind conditions before storm events occur.

  • 14-day wind risk forecast calendar
  • Segment exposure under gust conditions
  • Pre-storm priority identification
  • Resource pre-positioning support
  • Post-storm damage correlation
Emergency Management · Grid Operations Managers

Wildfire Preparedness

Relate territorial wildfire risk conditions with electrical infrastructure to identify exposed segments.

  • Wildfire proximity analysis
  • Vegetation condition index integration
  • Fire propagation zone modeling
  • High-risk corridor identification
  • Seasonal fire risk evolution
Emergency Management · Reliability Managers

Preventive Maintenance

Prioritize assets and interventions based on composite risk, replacing fixed schedules with evidence-based decisions.

  • Prioritized Maintenance Plan
  • Multi-hazard composite prioritization
  • Budget allocation by risk level
  • Work order generation support
  • Maintenance effectiveness tracking
Asset Management Managers · Maintenance Managers

Field Inspection

Direct inspection crews toward sectors with the highest evidence-based priority.

  • GPS-based crew deployment guidance
  • Priority segment identification by feeder
  • Risk driver explanation per segment
  • Priority Inspections
  • Field verification workflow support
Field Inspection Teams · Maintenance Contractors

Network Planning

Analyze territorial risk patterns to support infrastructure investment and long-term planning decisions.

  • Territory-wide risk distribution analysis
  • Highest-risk feeder identification
  • Municipality-level risk ranking
  • Multi-year risk trend analysis
  • Capital investment prioritization support
Asset Management · Planning Teams

Reliability Management

Understand which environmental threats affect different parts of the network to strengthen overall grid resilience.

  • Multi-hazard exposure profiling
  • Seasonal reliability risk assessment
  • Network health monitoring
  • Reliability KPI support
  • Evidence-based operational reporting
Reliability Managers · Grid Operations Managers

From weather signal to field action in under an hour.

This illustrative workflow shows how Grid Sentinel can compress the time between environmental signal detection and operational response.

06:00
Weather model detects increasing wind exposure.
ERA5 forecast shows gusts exceeding threshold across northern feeders.
06:05
Grid Sentinel recalculates network risk.
AI models integrate updated wind forecast with vegetation and terrain data.
06:06
38 segments increase priority. [DEMO DATA]
Composite risk scores updated. 12 segments reach HIGH, 3 reach EXTREME.
06:10
Operations identifies 5 critical areas. [DEMO DATA]
Geographic Analysis view filters to EXTREME segments. 5 feeders flagged.
07:00
Inspection teams are assigned.
Field crews dispatched to highest-priority segments with risk driver briefing.

This is an Illustrative Workflow demonstrating a potential operational scenario. Values marked [DEMO DATA] are illustrative and do not represent actual Grid Sentinel performance metrics or real operational results.

Move from scheduled maintenance to risk-based maintenance.

Traditional Approach
Grid Sentinel
Periodic inspection
Risk-guided inspection
Static schedules
Dynamic prioritization
Separate data sources
Integrated intelligence
Manual territory review
Satellite-scale analysis
Reactive maintenance
Proactive maintenance
Asset lists
Network classified by risk level
Single-variable analysis
Multi-hazard intelligence
Limited traceability
Explainable risk