Analytics

Performance

Signals into decisions.

The problem

A healthy unit can run below its reference curve for months, and that silent loss is caught only late, after the fact, by the classic monthly spreadsheet calculation.

The solution

Compares live output to the reference power curve, quantifies the loss in energy terms, and makes it recoverable.

From the interface

Performance / A look at the platform
AAA · sample tagSample
Representative view; data and site names are examples.
REPRESENTATIVE INTERFACE · SYNTHETIC DATA

This mockup illustrates the product workflow; it is not connected to a live system.

How it works

  1. Load the reference curve and measurements for wind, thermal or solar equipment.
  2. Compare output against the curve to calculate deviation and energy loss.
  3. Compare pre- and post-maintenance periods.
  4. Use equivalence, normality and distribution tests to assess the result.
  5. Generate and retain a formatted report.

Capabilities

  • Wind fleet reports with chunked retrieval, matrices, losses and Excel output
  • Thermal history/test comparisons, outlier handling and normality tests
  • Solar reports by inverter, irradiance and panel temperature
  • Pre/post-maintenance checks
  • Diagnostics and statistics
  • Saved report templates

What it delivers

Makes silent production loss visible without waiting for month-end.

Related modules

Analytics

Trend

Every tag on one timeline.