How the LIS™ Engine Works
Forensic Electrical Engineering — Not Estimation, Measurement
The Problem: Capacity You Already Own, But Can’t See
Standard utility metering and 15-minute SCADA intervals average away the fast-moving electrical behavior that actually determines how much capacity a facility has. Harmonic distortion, sub-cycle voltage sags, current surges, and rate-of-change-of-frequency (RoCoF) events don’t show up in a monthly bill or a 15-minute trend line — but they quietly de-rate equipment, waste energy, and mask headroom that already exists inside your infrastructure.
The result: facilities are told they need more capacity, when in many cases the capacity is already there — buried under structural electrical losses no one has measured.
The Method: Sub-Cycle Observability
The LIS™ Engine captures waveform data at 1 kHz — fast enough to resolve individual disturbances within a single 60Hz cycle, not just their aggregate effect over 15 minutes. That resolution is what makes forensic-grade analysis possible.
From that raw waveform, the engine performs:
- Harmonic Analysis (FFT) — Full spectral decomposition of voltage and current, evaluated against IEEE 519-2022 Total Harmonic Distortion (THD) and Total Demand Distortion (TDD) limits, including individual harmonic order limits.
- Transient & Event Detection — Voltage sags/swells, current surges, and frequency ramps identified and grouped into physical incidents (not raw detection-window counts), so the report reflects what actually happened on the system, not an artifact of the measurement window.
- Equipment Stress Quantification — Transformer K-factor derating (IEEE C57.110), neutral/triplen harmonic loading, and capacitor bank voltage stress (IEEE 18-2012), calculated directly from the measured waveform rather than assumed nameplate conditions.
- The Nodal Integrity Formula — Synthesizes the above into a single forensic finding: how much of a facility’s apparent capacity shortfall is actually structural electrical loss, and how much of that is a Permanent Load Reduction (PLR) opportunity — capacity that was there all along.
The Standard of Evidence
Every finding is tied to a named standard (IEEE 519-2022, IEEE C57.110-2018, IEEE 18-2012) and labeled by its evidentiary basis — measured, facility-verified, or illustrative — so nothing in a LIS report claims more certainty than the data supports. This is forensic engineering: built to hold up under technical scrutiny, not just look credible in a slide deck.
The Deliverable
A LIS Analytics engagement produces a machine-readable dataset alongside a full forensic report — IEEE 519 compliance status, incident-level transient documentation, equipment stress findings, and a defensible Permanent Load Reduction estimate your engineering team, your utility, or your capital planning process can act on directly.