Seeing the unseen grid
with Network State Estimation.

Distribution is barely measured, unbalanced, constantly reconfigured  and now full of generation as well as load. See how Enline´s new NSE turns the little data you already own into a complete, confidence-scored picture of the grid.

Format
50 min + live Q&A
For
DSOs · TSOs

The problem.

Nothing on the display looks unusual and that's the problem.

State estimation isn't new. Transmission operators have relied on it for decades but those grids are well measured, balanced and stable. To fill the gaps, DSOs leaned on three rules of thumb. Distributed generation has quietly broken all three, without an alarm to say your assumptions are now wrong.

Rule 01

Predictable load curves

Consumption followed a shape you could count on. Rooftop solar and batteries redrew it.

×broken silently
Rule 02

Balanced phases

You could assume the three phases roughly matched. Single-phase DER pulls them apart.

×broken silently
Rule 03

Voltage always falls outward

Voltage dropped as you moved from the substation. Reverse flows push it back up.

×broken silently

Why you can't miss it.

The first look at
Enline's new NSE

Built for the messy reality of distribution, not the clean world of transmission. You'll see it work on the hardest networks in the field, and understand why it's technically ahead of conventional state estimation  a live demo, real cases, and direct answers from the person who built it.

  1. 01

    Built for distribution's mess: Sparse, unbalanced, constantly reconfigured feeders - the reality, not the textbook.

  2. 02

    Proven on the hardest networks: If it copes with near-blind rural feeders, compact urban ones are easy.

  3. 03

    A genuine technical edge: Estimating electrical and topological state together a step beyond conventional state wstimation.

Webinar agenda

What we'll cover.

50 minutes, four parts, then live Q&A with Gabriel Pino.

Live Q&A at the end

  1. 01
    The silent visibility gap

    How DER and reverse flows quietly broke distribution's old rules, with no alarm to warn you.

  2. 02
    The value of NSE and how it works

    Sparse data, pseudo-measurements and grid physics infer voltage and current everywhere, each with a confidence score.

  3. 03
    What makes Enline’s NSE different?

    Topology, taps, load and instrument error estimated jointly, not in a fragile pipeline.

  4. 04
    Three real use cases.

    Loss detection (CFE, Mexico), low-visibility rural feeders (Electrocentro, Peru), and reverse-flow challenges.

Register now
Inside the Grid Live.

Your host
Gabriel PinoGabriel PinoCTO & Co-founder, Enline

Gabriel Pino is CTO and co-founder of Enline, where he leads the development of digital-twin technology for power grids.

A power-systems engineer by training, he drives Enline's platform work across state estimation, dynamic line rating, and real-time grid monitoring, now deployed with TSOs and DSOs worldwide.

Secure your seat

01 October · 12:00 CET ·
Can't make it live? Register anyway and we'll send you the recording.

Register on Zoom →