> ## Documentation Index
> Fetch the complete documentation index at: https://docs.dalyenergy.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Data Quality and Limits

> Input quality checks, model assumptions, and practical limits

# Data Quality and Limits

High-quality inputs matter as much as model fidelity. Daly enforces many structural checks and also relies on user data quality.

## Weather Input Constraints

Inline weather arrays must:

* Use consistent lengths across required series (`ghi`, `dhi`, `windSpeed`, `temperature`, etc.)
* Include `date` unless exactly `8760` points are provided
* Stay within payload-size limits (up to 100,000 timestamps in validated model input)

## Location and Timezone

Location selection controls:

* Sun-position geometry
* Time-zone assumptions and optional overrides
* Far-shading profile applicability

Timezone mismatch between weather timestamps and site assumptions is a common source of error.

## Equipment Library Quality

Module and inverter libraries strongly affect results. Parsed `.pan` and `.ond` fields drive:

* IAM/AOI behavior
* Temperature and electrical response
* Inverter limits, efficiency curves, clipping behavior

## Spectral and Bifacial Conditions

* Spectral correction is applied for eligible conditions/modules.
* Bifacial effects are modeled when bifacial inputs are present and complete.

## Computational and API Limits

* `POST /energymodels` is sync-first by default; use `?async=true` for queued execution.
* Very large timeseries outputs (`fullTimeSeries`, debug-heavy payloads) can be expensive to store/transfer.

## Recommended QA Workflow

1. Validate weather arrays and timestamp conventions before submission.
2. Verify module/inverter metadata for key electrical fields.
3. Run a baseline single-block case before portfolio-scale runs.
4. Compare summary losses against expected ranges before operational decisions.