What is Energy Analytics?
Data-Driven Utility Management
It involves collecting and analysing data from across the power distribution network—including substations, transformers, and smart meters. By leveraging machine learning, utilities gain full visibility into grid health, performance, and usage trends.
- Grid monitoring: Visibility into voltage & power quality.
- Load forecasting: AI-powered demand prediction.
- Loss detection: Identifying technical & non-technical losses.
- Asset health: Monitoring degradation & maintenance.
- Renewable integration: Balancing distributed energy.
- Geospatial: Location-based planning & response.
Core Capabilities
Performance
Real-time visibility into voltage levels, power quality, and load distribution for stability.
Forecasting
AI models using historical and real-time data to anticipate peak demand and optimise capacity.
Loss Detection
Identifying energy losses to improve efficiency, reduce theft, and increase revenue recovery.
Asset Health
Monitoring asset performance to predict maintenance needs and extend infrastructure lifespan.
Our Analytics Platform
Data Integration
Ingests data from SCADA, AMI, GIS, Distributed Energy Resources (DER), and IoT sensors.
Real-Time Dashboards
Live KPIs, alerts, and operational maps designed specifically for grid operators.
Predictive Modelling
Advanced algorithms to forecast load, detect faults, and predict asset failures before they occur.
Custom Reporting
Regulatory, financial, and operational reports tailored to specific utility goals and requirements.
Flexible Deployment
Scalable cloud and on-premise options aligned with security and compliance needs.
Geospatial Intelligence
GIS-integrated analytics for spatial visualisation of load flows, outages, and maintenance zones.
Benefits & Strategy
Benefits to Utilities
Driving operational excellence. Transforming data into tangible improvements for the grid.
Key Advantages:
- Efficiency: Streamlined operations & automated fault location.
- Reliability: Improved voltage control & outage detection.
- Revenue: Pinpointing technical losses & unauthorised usage.
- Service: Reducing disruptions for end-consumers.
Strategic Planning
Preparing for the future. Using data to guide investment and sustainability goals.
Focus Areas:
- Investment: Data-driven infrastructure upgrades.
- Sustainability: Optimised energy flows & conservation.
- Carbon Reduction: Managing demand-side targets.
- Expansion: Planning capacity based on accurate trends.
Technical Integration
Connecting the ecosystem. A unified view of your entire distribution network.
Integration Scope:
- SCADA & AMI: Real-time control & metering data.
- GIS Mapping: Spatial context for assets and outages.
- DERs: Monitoring solar and distributed resources.
- IoT Sensors: Granular data from field devices.
Smarter Grid, Smarter Data
Real-Time Intelligence
- Live Data: Instant visibility into grid status.
- Predictive: Foresight for maintenance & load.
- Actionable: Turning raw data into decisions.
- Integration: Unifying siloed data sources.
Operational Visibility
- Proactive: Moving from reactive to planned.
- Reliability: Reducing downtime significantly.
- Efficiency: Optimising energy flow & delivery.
- Sustainability: Supporting green initiatives.
Make every kilowatt count.
Our Energy Distribution Analytics solutions empower utilities with real-time intelligence, predictive foresight, and full operational visibility to build a smarter, data-driven network.