Utility executives and boards
Start with the financial and investment rationale, then review the concise model overview and decision metrics.
Explore managed charging economics →Grid Impact Model Resource Center
Explore the model at the level of detail you need.
Videos, examples, presentations and planning guides for localized EV forecasting, transformer-risk screening, managed charging economics, DSM, DER and VPP analysis.
Find what is relevant to you
Different roles need different levels of detail
Use these paths to avoid working through material that does not apply to your immediate planning question.
Distribution planners and engineers
Focus on localized hourly forecasts, transformer screening, data exports and integration with circuit models.
Explore grid-stress analysis →EV, DSM and DER program teams
Compare managed charging strategies, customer participation, flexible-load options and non-wires alternatives.
Explore flexible-load planning →Quick orientation
Understand the model before diving into the methodology
These resources provide progressively more detail—from a one-minute introduction to a complete model session.
One-minute executive overview
Why localized EV growth creates a new utility planning challenge
See how GIM connects emerging load, small-area grid exposure and utility strategies for reducing or shifting peak demand.
Watch videoInteractive presentation
Five-minute EV impact example
Follow a representative analysis from EV adoption assumptions through block-group and customer-level results.
Open online viewer →Downloadable presentation
EV impact analysis PDF
Review or share the same example in a 19-page document.
Open PDF →Detailed walkthrough
Grid Impact Model session
See workbook inputs, scenario selections, dashboards, charts, tables and exports.
View model session →Model and deliverables
Understand the complete platform, see it in use or choose a prepared analysis instead of operating the full workbook.
EV forecasting and customer digital twins
Learn how bottom-up customer analysis reveals localized adoption and hourly load patterns that system-level forecasts can miss.
EV load forecasting for utilitiesCustomer-level ownership forecasts and 8,760 charging profiles→Next-generation forecasting with customer digital twinsEV ownership, electrification, weather and hourly-load applications→AI agent-based EV ownership and hourly-load forecastingHow customer characteristics support localized adoption and kW estimates→Top-down forecasts versus bottom-up digital twinsWhy forecast direction matters for distribution planning→
Managed charging and utility economics
Move beyond the general value of load shifting to quantify program costs, G&T demand savings and co-op financial performance.
How many EVs does a co-op need before managed charging pays?Breakeven enrollment and the importance of the G&T demand rate→Data centers, EVs and residential demand responseWhy managed charging can become increasingly important to residential economics→Expanded managed charging business-case worksheetTelematics, AMI, meter-collar, cash-flow and investment decision metrics→
Distribution planning and flexible-load strategies
Use localized forecasts to prioritize engineering review and evaluate managed load, DER and VPP alternatives.
The connected decision process
GIM resources support four linked utility decisions
The resource center explains each part separately; the model evaluates them together.
01Forecast where EV and electrification growth will occur.
02Screen where transformer and feeder exposure could emerge.
03Compare managed charging and flexible-load strategies.
04Quantify costs, benefits, cash flow and financial return.
Prefer a guided explanation?
Choose a 15-minute executive overview or a 45-minute working demonstration tailored to your utility planning questions.