Karlstadgata

Karlstadgata 0553 OSLO, Oslo, NO
Operator: Oslo Kommune (BYM – Bymiljøetaten / Oslo Municipality)
Owner: Oslo Kommune (BYM – Bymiljøetaten / Oslo Municipality)

Real-time reliability analytics for the Oslo Kommune (BYM – Bymiljøetaten / Oslo Municipality) EV charging station at Karlstadgata 0553 OSLO, Oslo, NO, owned by Oslo Kommune (BYM – Bymiljøetaten / Oslo Municipality). Monitor live availability, occupancy and the Symbioen Index across 8 charging points — with 60-day performance history to evaluate charging infrastructure quality. In the 7-day window, Symbioen could score 7 of 8 charging points here.

For site hosts, operators and asset managers

Keep this station under independent review

Add it to your portfolio for weekly Symbioen Index, Availability and Occupancy trends, or scope a report that turns comparable evidence into an SLA, maintenance or asset decision.

Symbioen Index
100.0
Last 7 days · scored points only
Charging points
8
Current
Points scored
7 / 8
Last 7 days
Availability
100.0%
Last 7 days · scored points only
Occupancy
56.7%
Last 7 days · all points
Successful Sessions
100.0%
Last 7 days · scored points only

History

Last 60 days
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Audit Logs

EligibilityPassed
IncompletenessNone
Audit Points309 tracked

Reliability is scored under Symbioen Reliability Protocol v0.6 and updated continuously from live telemetry.

Charging point fleet

EVSE 3345
UNKNOWN
UID: 33483345
Power
22kW
Type
Type 2
EVSE 3346
CHARGING
Symbioen Index100
UID: 33483346
Power
22kW
Type
Type 2
EVSE 3347
CHARGING
Symbioen Index100
UID: 33483347
Power
22kW
Type
Type 2
EVSE 3348
CHARGING
Symbioen Index100
UID: 33483348
Power
22kW
Type
Type 2
EVSE 3349
CHARGING
Symbioen Index100
UID: 33483349
Power
22kW
Type
Type 2
EVSE 3350
CHARGING
Symbioen Index100
UID: 33483350
Power
22kW
Type
Type 2
EVSE 3351
CHARGING
Symbioen Index100
UID: 33483351
Power
22kW
Type
Type 2
EVSE 3352
CHARGING
Symbioen Index100
UID: 33483352
Power
22kW
Type
Type 2

What could this reliability be worth?

The calculator opens with the figures above and estimates how much energy downtime and failed sessions leave unsold.

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