Alti Valdres

Markavegen 2 2920 LEIRA I VALDRES, Innlandet, NO
Operator: Mer Norway
Owner: Mer Norway

Real-time reliability analytics for the Mer Norway EV charging station at Markavegen 2 2920 LEIRA I VALDRES, Innlandet, NO, owned by Mer Norway. Monitor live availability, utilisation rate and the Symbioen Index across 8 charging points — with 60-day performance history to evaluate charging infrastructure quality.

For site hosts, operators and asset managers

Keep this station under independent review

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

Symbioen Index
98.7
Last 7 days
Charging points
8
Current
Points scored
8 / 8
Last 7 days
Availability
95.8%
Last 7 days
Utilisation Rate
12.9%
Last 7 days
Successful Sessions
97.5%
Last 7 days

History

Last 60 days
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Audit Logs

EligibilityPassed
IncompletenessNone
Audit Points18050 tracked

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

Charging point fleet

EVSE 5AE7
AVAILABLE
Symbioen Index100
UID: 2D2495BD-767C-EE11-8179-6045BD905AE7
Power
200kW
Type
CCS/Combo
EVSE 5B92
AVAILABLE
Symbioen Index100
UID: AD1882E3-797C-EE11-8179-002248885B92
Power
200kW
Type
CCS/Combo
EVSE 5AE7
AVAILABLE
Symbioen Index96
UID: 1C2495BD-767C-EE11-8179-6045BD905AE7
Power
50kW
Type
CHAdeMO
EVSE 5AE7
AVAILABLE
Symbioen Index96
UID: 3E2495BD-767C-EE11-8179-6045BD905AE7
Power
50kW
Type
CHAdeMO
EVSE 5AE7
AVAILABLE
Symbioen Index100
UID: 4A2495BD-767C-EE11-8179-6045BD905AE7
Power
200kW
Type
CCS/Combo
EVSE 5B92
AVAILABLE
Symbioen Index100
UID: A08BC72D-7A7C-EE11-8179-002248885B92
Power
200kW
Type
CCS/Combo
EVSE 5B92
AVAILABLE
Symbioen Index100
UID: B99F8D96-7A7C-EE11-8179-002248885B92
Power
200kW
Type
CCS/Combo
EVSE 5B92
AVAILABLE
Symbioen Index98
UID: CDDFA3A6-797C-EE11-8179-002248885B92
Power
200kW
Type
CCS/Combo

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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