Renewable Energy
Monitoring & Optimising Australia's Clean Energy Assets
Asset monitoring, performance analytics, and predictive maintenance for renewable energy operators. We help maximise uptime and generation efficiency through real-time data collection, anomaly detection, and operational dashboards.
Solar & Wind
Asset Types Supported
Predictive
Maintenance Analytics
SCADA Ready
Grid Integration
Uptime+
Generation Optimisation
What We Deliver
IoT and Analytics for Renewable Energy Operators
As Australia's renewable energy fleet scales, operators face increasing pressure to maximise asset uptime, meet generation forecasts, and control O&M costs. We deploy IoT monitoring and data analytics platforms that give energy operators granular visibility into every asset.
From individual inverters and string-level performance to battery state-of-charge and grid export telemetry — our predictive maintenance platforms detect anomalies before they become failures, reducing unplanned outages and extending asset life.
Solutions We Deploy
- Asset monitoring & performance analytics
- Predictive maintenance platforms
- String-level solar monitoring
- Battery storage analytics
- Grid integration & telemetry
- AEMO & DNSP compliance reporting
Key Capabilities
Asset Performance Monitoring
Continuous real-time monitoring of solar, wind, and storage assets to detect degradation and performance anomalies early.
Predictive Maintenance AI
Machine learning models trained on asset telemetry to predict failures before they occur, reducing unplanned downtime.
Energy Generation Analytics
Granular generation and consumption analytics dashboards that help operators understand performance against forecast.
Grid Telemetry Integration
Secure integration of asset telemetry with grid operator systems and energy management platforms (SCADA, DERMS).
The Problem Space
Where Renewable Energy Operators Leave Value on the Table
The Australian renewable energy sector is scaling rapidly — but many operators still lack the monitoring and analytics infrastructure to optimise what they've built.
Undiscovered Underperformance
Without granular monitoring, solar string failures, wind turbine degradation, and inverter faults can go undetected for months — silently eroding generation revenue.
Reactive Maintenance Costs
O&M strategies based on scheduled servicing or failure response are expensive and inefficient. Predictive maintenance requires data that most operators don't yet have.
Grid Integration Complexity
Connecting renewable assets to grid operator SCADA and DERMS platforms involves complex telemetry, protocol translation, and security requirements.
Forecast vs. Actual Gaps
Without string-level and asset-level data, operators cannot identify the root cause of generation shortfalls relative to modelled performance — making improvement impossible.
Our monitoring platforms transform raw telemetry into operational intelligence.
From detecting underperforming string groups to predicting gearbox failures weeks in advance — data-driven O&M is the difference between a performing and underperforming renewable portfolio.
Real-World Applications
Renewable Energy Use Cases We've Delivered
Monitoring and analytics solutions deployed across solar, wind, and storage assets.
Solar String-Level Performance Monitoring
String-level current and voltage monitoring with anomaly detection identifies shading, soiling, and equipment failures at the granular level — enabling targeted O&M rather than blanket servicing.
Wind Turbine Condition Monitoring
Vibration, temperature, and acoustic sensors on gearboxes, bearings, and blades provide early warning of developing faults — enabling planned maintenance before catastrophic failure.
Battery Energy Storage Analytics
Cell-level monitoring of battery banks with state-of-charge, state-of-health, and thermal analytics — maximising cycle life and identifying degrading cells before they affect performance.
Grid Export Telemetry & Compliance
Real-time metering and telemetry systems meeting AEMO and DNSP requirements — with automated reporting and compliance monitoring built into the platform from day one.
Our Engagement Model
From Portfolio Assessment to Optimised Operations
A data-first engagement process that delivers operational intelligence from day one.
Portfolio Assessment
We assess your existing monitoring infrastructure, SCADA systems, and data gaps — identifying the highest-value monitoring opportunities across your portfolio.
Platform Design
We design a monitoring and analytics platform tailored to your asset mix — selecting sensors, communication protocols, and visualisation tools.
Integration & Deployment
We deploy monitoring hardware, integrate with your SCADA and grid systems, and commission the analytics platform with dashboards and alerting.
Continuous Optimisation
Analytics dashboards reveal performance patterns. We refine alerting thresholds, anomaly detection models, and reporting to continuously improve O&M outcomes.
Technology & Platforms
Standards-Based. Grid-Ready. Analytically Powerful.
Our renewable energy monitoring stack covers the full range of industry protocols — from Modbus and DNP3 for inverter communications to IEC 61850 for substation automation and REST APIs for cloud analytics platforms.
We build to AEMO and DNSP telemetry specifications from the start, ensuring your monitoring infrastructure meets grid operator requirements without costly retrofitting.
+ protocols and hardware per asset class
Services
Relevant Services for Renewable Energy
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Next Step
Ready to Optimise Your Energy Assets?
Let's explore how real-time monitoring and predictive analytics can improve uptime and reduce O&M costs across your renewable portfolio.