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Vattenfall InCharge predictive charge-point placement model

by Royal HaskoningDHV

AI Application
Low Confidence

Vattenfall InCharge places public charging points in 67 municipalities in Gelderland and Overijssel largely before demand arises, using a predictive model developed by engineering consultancy Royal HaskoningDHV. The model estimates charging demand within a 250-metre radius and predicts how many charging points will be needed, which Vattenfall says also helps grid operators plan capacity. The concession covers at least 4,000 charging points over three years from 2022; drivers can still request a point where none is nearby. The press release does not call the model AI or describe its inputs or how municipalities approve placements.

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Transparency Score

Weighted across four pillars · updated November 2, 2026

Overall grade
50% weighted
ABCDF
Model
—
Not yet assessed
Infrastructure
—
Not yet assessed

Capabilities

Charging Demand Forecasting
Site Selection

Vendor Information

Complete information about the vendor/provider of this AI application

Royal HaskoningDHVView all products →
Haskoning Nederland B.V.(Trading as: Royal HaskoningDHV)
Contact Information
royalhaskoningdhv.com

EU AI Act Provider Information

Verification Status:
Unverified
Haskoning Nederland B.V.(Trading as: Royal HaskoningDHV)

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Added: November 2, 2026
Updated: November 2, 2026

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