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 →Risk management and stress testing
Test whether today's managed-charging strategy will still work as EV ownership grows
GIM extends utility EV planning from a single forecast or business case to a transparent risk-management process. Utilities and their consultants can establish a baseline, change important assumptions, compare adverse scenarios and identify the breakpoints at which a recommended strategy should change.
Stress tests can examine higher EV charging loads, lower participation, increased program or technology costs, extreme weather and localized EV clustering—then show how each change affects financial results and grid exposure.
The analysis can be updated as actual conditions change, turning managed charging into an ongoing process of identify, stress test, monitor and adapt.
Stress-test the business caseCompare baseline and adverse financial scenarios.
Find decision breakpointsIdentify participation, load and cost thresholds.
Evaluate localized grid riskReveal where EV clustering may create the greatest exposure.
Monitor and adaptReassess program strategy as EV ownership and conditions change.
Model and deliverables
Understand the complete platform, see it in use or choose a prepared analysis instead of operating the full workbook.
Main Grid Impact Model overviewCurrent capabilities, expanded worksheets, outputs and implementation→Example GIM sessionModel inputs, dashboards, filters, forecasts and output tables→Grid Impact Analysis ReportsProfessionally prepared results without licensing and operating the full platform→Risk management and stress testingBaseline and adverse scenarios, breakpoints, localized grid risk and ongoing reassessment→
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.
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.