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ForecastingEnergy

Forecasting without friction.

A self-service electricity-demand model designed around official scenarios and two easily sourced public inputs.

Rejlers electricity-demand forecast model engagement
Engagement

Rejlers · Consulting engagement

Role

Sole product developer

Year

2023–2024

~25%

of Swedish grid operators adopted it in year one

01 · Challenge

Challenge

Swedish distribution operators needed credible infrastructure-demand forecasts for regulatory reporting, without the data burden of a bespoke modeling project.

02 · My contribution

My contribution

I designed the methodology and sole-built the Excel product, translating three official government scenarios into low, mid and high demand projections.

03 · Outcome

Outcome

Approximately 40 of Sweden's 155 distribution operators adopted the model during its first commercial year.

Approach

Approach

  1. 01

    Anchored assumptions in three official government electrification scenarios so the outputs were defensible for regulatory reporting.

  2. 02

    Reduced the required user input to two public data points: current population and the municipality's growth designation.

  3. 03

    Built low, mid and high projections with embedded instructions so operators could run the model without consulting support.

Deliverables
Forecast methodologySelf-service Excel productThree demand scenariosEmbedded user guidance
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