Customer and hourly-load intelligence
Residential records combine energy use, end-use loads, building, equipment, income, demographics, transportation and location characteristics.
Jackson Associates combines decades of utility customer data and hourly-load modeling with the Grid Impact Model—helping utilities locate emerging grid risk, evaluate mitigation strategies and build defensible business cases.
GIM is grounded in the way individual customers adopt technologies and use electricity—not simply in systemwide averages.
Residential records combine energy use, end-use loads, building, equipment, income, demographics, transportation and location characteristics.
Customer digital twins produce technology-adoption probabilities and 8,760 hourly loads that aggregate consistently by block group, ZIP code and service area.
Grid-risk screening connects with managed charging, DSM, DER and VPP scenarios so utilities can compare operational benefits, costs and investment metrics.
The Grid Impact Model is the primary application of Jackson Associates' current data and modeling work. It gives cooperatives, municipal utilities and IOUs a practical first step when detailed AMI integration or circuit analysis is not yet available.
Utilities can identify likely hot spots, test assumptions and establish priorities before committing scarce engineering and program-development resources.
Review all GIM modulesGIM connects applications that are often evaluated separately, allowing adoption, hourly loads, local grid exposure and program economics to use consistent assumptions.
Estimate customer-level probabilities for EVs and other emerging technologies.
Create localized current and future 8,760 profiles by customer and end use.
Identify block groups and equipment conditions that warrant closer review.
Compare managed charging, DSM, DER, VPP and upgrade economics.
Jackson Associates was founded by Jerry Jackson, Ph.D., an energy economist and software developer whose work has focused on converting detailed customer information into useful utility and market decisions.
That experience includes utility forecasting, customer-load modeling, technology adoption, demand response, smart-grid investment analysis and software-based drill-down analytics. The Grid Impact Model brings those capabilities together in an accessible Excel-based planning system.
JA provides the model, underlying data and direct analytical support—so clients work with the people who developed the methods rather than through a generic software support layer.
Identity-protected MAISY records establish a representative customer and hourly-load foundation. Utility data can refine the analysis when available.
Adoption, weather, charging, equipment, participation, cost and program assumptions remain available for utility review and scenario testing.
GIM supports screening and prioritization. It helps identify where detailed measurements and engineering analysis are most likely to be valuable.
JA's current primary application is the Grid Impact Model, supported by MAISY customer and hourly-load databases and direct analytical consulting. The model addresses localized EV, electrification, weather, DSM, DER, storage, VPP and utility business-case questions.
GIM is designed for electric cooperatives, municipal utilities, investor-owned utilities, G&Ts, utility consultants and engineering firms. It is particularly useful when a utility needs localized planning intelligence but does not yet have fully integrated AMI, GIS and circuit-model data.
No. GIM provides planning-level forecasting, screening and prioritization. Its purpose is to identify potential hot spots, compare scenarios and focus subsequent measurements, equipment review and engineering studies.
Yes. JA can help define scenarios, incorporate utility assumptions and available data, interpret results, develop business cases and prepare hourly-load exports for engineering or GIS workflows.
A guided online session can review localized forecasts, transformer screening and managed charging economics using a representative service area.