The Intelligence Layer for Modern Energy Systems

Continuous monitoring of interval reads, communication health, meter availability, data completeness, operational anomalies, and smart meter performance across the distribution network.

Key Capabilities

• Interval read monitoring
• Communication SLA visibility
• Meter availability tracking
• Data quality validation
• Smart meter event analytics
• Tamper and abnormal event monitoring
• Reverse flow detection
• Outage signal intelligence
• Consumer Consumption & Demand Intelligence

Improve outage visibility, restoration coordination, and operational response using smart meter events, feeder analytics, and operational data.

Key Capabilities

• Outage event detection
• Fault pattern identification
• Restoration visibility
• Affected consumer estimation
• Crew prioritisation support
• Outage trend analytics
• Root cause correlation
• Restoration performance tracking

Identify consumption-to-billing mismatch, unaccounted energy behaviour, abnormal billing patterns, and potential revenue leakage across the network.

Key Capabilities

• Energy-to-revenue analysis
• Billing mismatch detection
• Consumption anomaly detection
• Theft risk identification
• Unbilled energy monitoring
• Collection trend visibility
• Revenue leakage analysis
• High-risk consumer prioritisation

Forecast feeder, transformer, and consumer demand behaviour using historical, interval-level, seasonal, and operational datasets.

Key Capabilities

• Short-term load forecasting
• Long-term demand forecasting
• Peak demand prediction
• Seasonal trend analysis
• Demand growth estimation
• Load pattern intelligence
• Forecast-based planning support
• Capacity stress prediction

Continuous interpretation of technical loss drivers across feeders, transformers, phases, and network segments using electrical and operational data.

Key Capabilities

• I²R loss analysis
• Power factor visibility
• Voltage drop analysis
• Long feeder identification
• Network bottleneck detection
• Phase balancing support
• Loss hotspot identification
• Electrical loss modelling
• Voltage imbalance monitoring
• Interruption trend analysis

Monitor asset condition, operational stress, and failure probability to support condition-based maintenance and reduce unplanned outages.

Key Capabilities

• Asset health indexing
• Transformer risk analysis
• Failure probability estimation
• Maintenance prioritisation
• Remaining useful life estimation
• Thermal and load stress analysis
• Predictive maintenance planning
• Critical asset monitoring

Understand how distributed generation, rooftop solar, EV charging, and emerging demand behaviour affect feeder stability, voltage quality, and transformer loading.

Key Capabilities

• Rooftop solar analysis
• Reverse power flow analytics
• DER participation analysis
• Renewable injection monitoring
• EV load growth analysis
• Distributed load behaviour monitoring
• Local grid stress visibility
• Renewable impact analysis

Combine GIS, topology, feeder hierarchy, and operational datasets into a unified spatial intelligence layer for planning and operational visibility.

Key Capabilities

• Locational-Intelligence enabled asset visibility
• Feeder topology analysis
• Consumer indexing
• Network tracing
• Spatial operational intelligence
• Asset hierarchy mapping
• Topology-aware analytics
• Location-based operational analysis

Support long-term planning, reinforcement analysis, network expansion, and infrastructure optimisation under evolving demand and renewable penetration.

Key Capabilities

• Capacity planning
• Network reinforcement analysis
• Scenario simulation
• Hosting capacity assessment
• Demand growth planning
• Infrastructure stress analysis
• Expansion prioritisation
• Planning decision support