Charge-point reliability dataset

Name: Charge-point reliability dataset: raw OCPP traffic, session records and charge detail records from any charge-management system, transformed into a learned per-network behavioural baseline plus anomaly detections and likely-failure patterns predicted before outage, alert-priority verdicts with assigned team routing, false-positive/noise classifications, and root-cause annotations — i.e. labelled pre-failure sequences across a heterogeneous, multi-vendor charger estate
Creator: Solidstudio

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Charge-point reliability dataset: raw OCPP traffic, session records and charge detail records from any charge-management system, transformed into a learned per-network behavioural baseline plus anomaly detections and likely-failure patterns predicted before outage, alert-priority verdicts with assigned team routing, false-positive/noise classifications, and root-cause annotations — i.e. labelled pre-failure sequences across a heterogeneous, multi-vendor charger estate

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Coverage

Universe, instruments and categories.

Industry: Application SoftwareElectric Utilities
Instruments: equities
Categories: AlternativeSupply ChainGeospatial
Regions: OtherUSEurope
Sample tickers: CHPTBLNKEVGOTSLAKERRY.LGEVABBON.SWPHIA.ASENEL.MIPGE.WA

Dataset card

Type: not stated
Format: Tabular (OCPP message streams, session records and charge detail records ingested from any charge-management system, producing structured per-charger KPI time series, anomaly records and prioritised alert events with root-cause annotations)
Volume: est. hundreds of millions of ingested OCPP messages per year across connected chargers (each charger emits heartbeat and status messages continuously plus meter-value and transaction records), yielding a comparatively small but dense set of derived anomaly, pre-failure and root-cause label records — the label count is orders of magnitude smaller than the message count and is the valuable part; absolute figures are not published
Users: est. tens of charge point operator and charge-management-system organisations (inferred from a seed-funded ~44-person firm selling an overlay that integrates with existing charge-management systems, plus an adjacent protocol gateway product implying multi-operator connections; no customer count published)
History: 3 years
Update frequency: not stated
Growth: Active — seed-funded scale-up selling a recently launched artificial-intelligence product line alongside an established charge-management and gateway business, with a live demo onboarding motion
Launched: est. ~2017-2019 for the underlying charge-management and charge-point-protocol gateway business (a seed-funded, ~44-person Kraków e-mobility software house with an established product catalogue), with the network-intelligence artificial-intelligence layer a more recent addition
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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