Anomaly Detection & Optimization
Detect the anomaly. Understand the cause. Recover the yield.
Real-Time
Every Asset
Plain-Language
Predictive
Continuous Detection
Anomalies surface the moment they appear.
Agentic AI compares expected versus actual behaviour on every stream, continuously. The instant an asset drifts outside its normal range, it’s flagged — no dashboards to watch, no thresholds to babysit.
- Expected-vs-actual comparison on every asset
- Catches sudden faults and gradual degradation alike
- Severity scored automatically as issues emerge
- Weather-adjusted, so real problems aren't masked
Hidden Losses
See the losses that hide in plain sight.
- Underperforming solar strings & degrading equipment
- Portfolio-wide health, visible at a glance
- Expected-vs-actual scanning across every site
- Catches drift earlier than threshold monitoring
Impact & Action
Know which problem to fix first.
An alert isn’t enough. Stromiq attaches operational severity and estimated impact to every anomaly — so teams act on what actually moves yield and revenue, in the right order.
- Estimated production & revenue impact per issue
- Severity-ranked so teams prioritise instantly
- Recommended response, in plain language
- Reactive troubleshooting → predictive optimisation
How It Works
From silent drift to a ranked, explained issue — automatically.
AI models each asset's expected behaviour from real, weather-adjusted performance data — so "normal" reflects your sites, not a generic baseline.
Every stream is compared continuously. Sudden faults, gradual degradation, and missing data are flagged in real time, with severity scored as they emerge.
Each anomaly arrives with cause, severity, and estimated impact — so teams fix what matters most and turn troubleshooting into optimisation.