Path-Q Solar
How should production be assessed when monitoring data has missing months?
Answer
Treat the missing months as uncertainty rather than filling them with a simple average. Reconstruct performance using available inverter, utility, billing, maintenance, and weather records, compare equivalent months across nearby years, and adjust conclusions for outages or system changes.
Key points
- Identify whether the gap reflects missing data, a communications failure, system downtime, or a platform change.
- Use measured production before and after the gap and comparable seasonal periods cautiously.
- Check utility imports or exports, inverter logs, service records, and photographs for corroboration.
- Separate estimated production from verified production in any report or valuation.
- Investigate whether the missing period coincides with unusual weather, shading, repairs, or equipment replacement.
What it depends on
- Length and timing of the data gap
- Availability and reliability of independent records
- System changes, outages, and maintenance history
- Weather and seasonal production pattern
Risks and trade-offs
- Averaging can hide a prolonged outage or seasonal effect.
- Weather-based reconstruction can be useful but remains an estimate.
- Conservative treatment may understate performance while optimistic interpolation may conceal a fault.
Information you may need
- Monitoring export and gap dates
- Utility bills and meter data
- Inverter and service records
- Weather and shading information
Your next step
What to do next
Build a month-by-month reconciliation that labels measured, corroborated, and estimated production, then investigate any unexplained shortfall.
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