Work with existing data
Start from relay, waveform, SCADA, or power-quality data already available across the grid.
Predictive maintenance for distribution grids
See grid risk earlier. Act with confidence.
shol is an explainable, sensor-light analytics layer designed to help Swedish electricity distribution operators detect degrading assets using operational data they already collect.
Existing operational dataExplainable fault signalsFocused DSO deployment
Earlier signal. Better focus.
A practical layer between grid data and maintenance decisions.
Keep risk explainable
Surface the operational signals behind each flag so specialists can assess what deserves attention.
Focus maintenance effort
Help teams prioritise higher-risk assets and plan targeted interventions before work becomes reactive.
Sensor-light means starting with measurement infrastructure already in place—not requiring a new hardware layer before learning.
How it works
From operational signal to targeted action.
Start narrow, make the evidence clear, and connect insight to the way grid specialists already investigate and plan.
01
Connect the signal
Begin with a focused data source and a maintenance question worth answering.
02
Find degradation patterns
Analyse existing operational measurements for early indicators of asset risk.
03
Support a clear decision
Present explainable evidence that helps specialists decide where to investigate next.
Built around a clear need
Move from broad, reactive work toward earlier, focused intervention.
The starting hypothesis is simple: existing grid measurements can reveal useful degradation signals early enough to help teams reduce outage risk and direct scarce specialist time where it matters most.
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