LIVE PERFORMANCE1.82 MW
06:0009:0012:0015:0018:00
HOW IT WORKS
From underperformance to recovery
Sunalytiq continuously evaluates PV performance, identifies emerging problems and turns them into prioritised actions for your team.
Estimated annual production loss beyond standard alarms.
87%
Developing degradation
Probability over the next 30 days.
String Q4→Abnormal current→Connector issue
Likely cause identified from correlated behaviour.
Portfolio-wide impact translated into business terms.
Fix first
THE SUNALYTIQ WORKFLOW
One continuous performance loop
Every insight stays connected to the operational decision and the performance that follows.
Understand actual system performance
Sunalytiq continuously evaluates operational and production data across your photovoltaic assets.
Find losses standard monitoring can miss
The platform identifies abnormal behaviour, persistent underperformance and deviations from expected performance.
Spot developing performance problems
Performance trends are analysed to identify issues that may worsen before they become obvious operational failures.
Understand what is likely causing the loss
Sunalytiq connects observed behaviour with possible technical causes and provides the context required for investigation.
Translate technical problems into business impact
Energy losses are quantified and translated into financial impact, helping operators understand the cost of leaving an issue unresolved.
Know what deserves attention first
Detected issues are ranked according to expected impact, urgency and potential value of corrective action.
Move from insight to action
Sunalytiq creates a structured workflow around corrective actions so detected issues can be assigned, tracked and managed through resolution.
Confirm that performance was recovered
After corrective action, Sunalytiq continues analysing performance to determine whether the issue was resolved and expected performance returned.
CLOSED-LOOP ANALYSIS
The analysis does not stop when an alert is created
Sunalytiq keeps the issue connected to its diagnosis, expected impact, corrective workflow and subsequent performance. This creates a closed feedback loop instead of a disconnected list of alarms.
DATAOperational context
DETECTIONMeaningful deviation
DIAGNOSISLikely technical cause
IMPACTEnergy and revenue loss
ACTIONTracked intervention
VERIFICATIONRecovered performance
WHY IT MATTERS
Make every intervention count
Earlier visibility
Identify degradation before it becomes a larger operational problem.
Faster decisions
Give teams the context needed to decide whether intervention is worthwhile.
Better prioritisation
Focus maintenance resources where they can recover the most value.
Continuous verification
Measure whether corrective actions actually restored performance.
Turn portfolio data into continuous improvement
Connect detection, prediction, diagnosis, action and verification in one performance workflow.
Join the pilot