5
reference sites
Cross-regional commercial portfolio
Solar performance intelligence
Know when your solar assets underperform — and why.
ArraySignal analyzes expected versus actual solar production, identifies performance problems, and shows asset owners where energy and revenue are being lost.
- Vendor-neutral telemetry
- Weather-adjusted modeling
- Explainable fault detection
4.45 MW
monitored DC
Capacity prioritized in one view
5 min
analysis intervals
Detailed explainable evidence
Portfolio command center
Move from fleet signal to inspection priority.
ArraySignal
Last 30 daysFleet performance
96.4%
Actual ÷ expected
Expected energy
611 MWh
Weather adjusted
Lost energy
21.8 MWh
Known estimate
Lost value
$36,240
Prioritized impact
Expected vs actual energy
Portfolio production · MWh
ActualExpected
Priority sites
Harborview Cold Storage
91.8% performance
Warning
$22.4k
Red River Manufacturing
96.5% performance
Data issue
$8.1k
Pacific Ridge Distribution
94.4% performance
Warning
$6.9k
Mesa Logistics Solar
98.2% performance
Healthy
$5.7k
The operational gap
Solar data is abundant. Actionable answers are not.
ArraySignal is built for the decisions that follow monitoring: what is underperforming, what is probably wrong, and what should be inspected first.
Underperformance hides in aggregate data
A portfolio can look healthy while individual assets quietly miss their weather-adjusted production targets.
Monitoring tools show symptoms, not causes
Raw inverter charts leave operators to determine whether a gap is physical, environmental, or a data-quality issue.
Inspection queues lack economic context
Without estimated lost energy and value, teams cannot consistently decide which problem deserves attention first.
How ArraySignal works
From telemetry to a ranked action queue.
A transparent analytics chain keeps observations, modeled expectations, detections, and economic estimates separate and explainable.
- 01
Normalize
Bring vendor-neutral site and inverter telemetry into one canonical, quality-checked data model.
- 02
Model
Calculate weather-adjusted expected production with explicit physical assumptions and units.
- 03
Detect
Compare expected and actual behavior using deterministic fault and data-quality rules.
- 04
Prioritize
Estimate lost energy and revenue, then rank the action queue by operational value.
Platform capabilities
Performance intelligence built for operating decisions.
Every signal is connected to the evidence, impact, and next action an asset-management team needs.
Expected vs actual production
See weather-adjusted performance at portfolio, site, and interval level without confusing missing data with zero production.
Explainable fault detection
Surface outages, persistent underperformance, clipping, possible soiling, and communications problems with supporting evidence.
Energy and revenue loss
Translate performance gaps into estimated lost kWh and dollars while preserving uncertainty when impact cannot be known safely.
Data-quality intelligence
Track completeness, availability, invalid measurements, duplicate timestamps, and missing intervals as first-class operational signals.
Built for commercial solar
One operating view for every stakeholder protecting asset value.
ArraySignal is designed for small and midsize commercial PV portfolios where expert time is limited and every inspection needs a clear reason.
Commercial asset owners
Protect production and revenue across owned rooftop, carport, and ground-mount assets.
Portfolio operators
Standardize monitoring and prioritize field work across vendors, regions, and system sizes.
O&M and performance teams
Turn recurring investigation work into an evidence-backed inspection queue.
Early access
Bring clarity to your solar performance workflow.
Tell us about your portfolio. We are working with commercial solar teams that want a clearer, vendor-neutral path from data to action.
- Portfolio and workflow review
- Reference analytics walkthrough
- Direct product feedback channel