EV-charging power-quality and uptime telemetry

Name: EV-charging power-quality and uptime telemetry: continuous IoT sensor streams of mains voltage/current at charge-point sites, overvoltage and circuit-breaker trip event logs, charger availability/session-failure records, and engineer-confirmed root-cause diagnoses per site
Creator: Energos.ai

ENERGOS.AIManage supplier listing

EV-charging power-quality and uptime telemetry: continuous IoT sensor streams of mains voltage/current at charge-point sites, overvoltage and circuit-breaker trip event logs, charger availability/session-failure records, and engineer-confirmed root-cause diagnoses per site

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Coverage

Universe, instruments and categories.

Industry: Application SoftwareElectrical Components & Equipment
Instruments: equities
Categories

Dataset card

Type: not stated
Format: Tabular time-series (IoT sensor readings) plus structured event/fault logs and charger session records
Volume: est. low billions of rows cumulative — order of 1-10M voltage/power-quality readings per monitored charge point per year at sub-second-to-1-minute sampling, multiplied by a multi-site deployment (a marquee EV network engagement implies hundreds of sites)
Users: N/A — B2B IoT monitoring deployment; scale is measured in monitored charge points / sites, not registered end users (drivers transact with the client's app, not with Energos)
History: 2 years
Update frequency: not stated
Growth: Active but early — seed-funded, ~10 employees; most recent public engagement write-up in the trace is dated 31 Jan 2025, so growth is real but cadence of public evidence is thin
Launched: not stated
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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