Solar Production Analyzer
AI analysis of solar production data and underperformance
Knowledge agent analyzing solar production data to identify underperforming strings, inverters, and system-level issues.
The Problem
Production losses are often undetected without detailed data analysis that site operators lack time to perform.
The Solution
- 01Ask any question in plain English
- 02AI searches your actual manuals and history
- 03Get cited answers with source links
How It Works
Select Period
Choose analysis timeframe and system
AI Analysis
Agent evaluates production metrics
Action Items
Review findings and improvement recommendations
Capabilities
Performance Ratio
Compare actual vs expected production
String Comparison
Identify underperforming strings
Trend Analysis
Detect degradation and seasonal patterns
ROI Impact
Real results from Energy customers
Troubleshooting Time
First-Time Fix Rate
Truck Rolls
Tech Satisfaction
Real-World Examples
See how the agent automates field workflows
Site 1042 is 12% below expected this month. What's causing it?
Site 1042 production analysis for current month: Expected: 45,200 kWh, Actual: 39,780 kWh (-12%). Root cause breakdown: 1) Inverter 3 offline 4 days (repaired 15th) = 6% loss. 2) String 2B showing 18% below peer strings = 2% system loss (likely soiling or cell degradation). 3) Higher than normal ambient temps reduced efficiency by 2%. 4) Remaining 2% within normal variance. Recommendations: Inspect and clean string 2B panels, review inverter 3 fault history to prevent recurrence. With corrections, expect 8% recovery next month.