MAISY^® Utility Customer Databases, Forecasting & Analysis Models

Energy Customer Data Resources for Electric Utilities and Technology Companies

MAISY Databases provide energy use and hourly kW loads for more than 7 million
residential and commercial utility customers

MAISY^® Utility Customer Energy Use and Hourly Loads Databases:
- Provide granular, neighborhood-level energy use and hourly load data for actual, individual utility customers
- Support energy customer market assessments and energy technology product development
- Provide input to AI agent-based and digital twin forecasting models
- Support enhanced grid visibility including EV and weather impact analysis, smart technology design, and targeted DER deployment.
Unlike engineering-based static datasets available from EIA and NREL, MAISY^® captures localized, dynamic, hourly energy use reflecting dwelling unit, appliances, demographics, and weather for 7+ million actual U.S. households

Grid Impact Models Identify Grid Threats and Potential DSM, DER, VPP Solutions

The Excel-Based Smart Grid Research Consortium (SGRC) Gird Impact Model
provides utilities with ZIP and neighborhood hourly load forecasts, impacts of
EV, electrification, weather extremes and demand management

The Excel-based Grid Impact Model (GIM) applies MAISY^® utility customer data, AI and digital twin analysis to simulate real-world localized grid behavior. With intuitive tools for scenario testing, flexible inputs, and real-time visualization, the model makes complex hourly load modeling both accessible and actionable.

A quick intro is provided by the following video and online presentations viewer:

1-minute Executive Overview Video
5-minute Online Viewer or pdf presentation of an example EV impact analysis

Forecasts are available for the current year, 2030 and 2035 with service area, ZIP, neighborhood, and customer detail. Output detail includes:

Electricity use and 8,760 hourly kW loads
Future EV ownership and 8,760 hourly load charging impacts
Impacts of increased population and electrification
Extreme weather impacts
DSM, DER, and VPP program impacts

Download the working GIM Model demo to explore unique distribution planning and analysis capabilities.

The GIM Resources Page provides links to GIM resources and examples of distribution system analysis applications.

The Grid Impact Model is the second Jackson Associates utility modeling project to address contemporary utility challenges. The Smart Grid Investment Model was developed and implemented for two dozen electric utilities to provide business case assessments of AMI and related smart grid investments. While field experience has removed much of the uncertainty surrounding these investments decisions, EV, electrification, and extreme weather are presenting a new set of distribution-level challenges that can be addressed with the Grid Impact Model.

...
The SRGC AI Digital Twin Model

A critical new imperative for many utilities is forecasting the upsurge in small-area grid loads caused by rapidly growing EV ownership, electrification and weather extremes. Unanticipated grid overloading can cause low voltage, flickering lights, reduced transformer lifetimes and even blown transformers, not to mention customer complaints/ dissatisfaction.

Forecasting these neighborhood-level loads requires an entirely new set of tools. Digital twin modeling, a new forecasting technology that is increasingly being used to model and analyze electric utility distribution equipment, is a perfect application to forecast these small areas grid threats.

Digital twin modeling applies information on actual utility customers identifying new grid load impacts, and results of load-shifting utility programs. Models are updated periodically to refine customer ownership, loads and utility program model relationships based on actual household information.

MAISY Energy Use and Hourly Load Residential Databases, consisting of more than 7+ million actual individual utility customers across the US, provide the perfect foundation for digital twin modeling. Information for each customer includes hourly electricity use by end-use (space heating, water heating, etc.), dwelling unit data, EV ownership, commuting schedules, income, and a variety of other socio-economic variables.

The Grid Impact Model (GIM) extracts utility customer records for customers residing in a specific utility service area for its digital twins. Changes in customer loads resulting from increased EV ownership, increased electric appliances, weather extremes, population growth price and utility program are forecast to determine impacts on local area transformers and feeders.

The digital twins reflect a statistically valid sample of actual utility customers within local areas, providing a low-cost alternative to collecting information on every customer in the service area. Problem areas exposed in GIM scenario analysis can be further evaluated with potential load-shifting programs represented in the GIM, with on-the-ground assessments, or with detailed transformer/feeder load flow models.

Grid Impact Models Page

MAISY Residential Utility Customer Databases

- 7+ Million actual individual household records across the US
- Geographic detail: ZIP code areas, counties, utility service areas, individual customers, etc.
- Socio-economic, dwelling unit, end-use energy use, hourly/15-minute electric loads, EV charging loads for each household
- Supporting more than 150 market analysis, forecasting, technology analysis, hourly load analysis projects for electric utilites, federal and state governments, private company clients.

Other Database Items
Summary of all MAISY Databases	Sample database applications
Applications by industry/technology	Analysis and consulting projects

Let Us Help Define Your Data Needs

Jackson Associates has worked with
more than 150 MAISY Databases clients to identify critical data items and analysis with detailed
household databases and user-friendly Excel-based forecasting models

Not sure exactly what data items you need, or which data items are best for the project at hand? Need some summary data or specific analysis results?

Let us help! – just e-mail us with your questions and/or suggest a time to discuss. We provide free consultations to help identify the most useful data/analysis for your application. We also provide free telephone support to assist with client data applications after data delivery.

MAISY Energy and Load Forecasting Models

MAISY forecasting models provide EV, electrification and weather extreme
impacts on energy use and hourly loads as well as demand management program analysis
designed to mitigate these utility grid threats.

MAISY energy models and forecasts have powered energy applications for decades. MAISY clients include fortune 100 companies, start-ups, electric utilities, US, state energy agencies and more.

MAISY AI agent-based models provide forecasts and analysis for geographic areas ranging from ZIP codes to utility service areas to states. Model output can also provide detailed household record data for users who want to drill down on specific issues. ...

MAISY AI agent-based model methology
EV ZIP/census tract saturation forecasts , household hourly loads W/WO EV charging
Smart grid, solar, battery storage, DER market analysis and peak hour impacts
Microgrid design and assessments
Residential household forecasts including household income, demographics, dwelling unit, appliance, energy use, and hourly loads data for 6+ million US households

Dwelling unit data, e.g., square feet, space heating equipment, appliances, etc.
Location data: ZIP code, county, place, metro area, 30-year degree days
Emissions data: Total, electricity, natural gas, fuel oil, propane
Annual Energy Use by fuel type (electricity, natural gas, fuel oil, propane) and end use.
8760 and 15-minute kW loads (whole building and end-use, including EVs, monthly averages)

Jackson Associates Provides Industry-Leading Data, Models and Analysis

Jackson Associates has worked with
more than 150 MAISY Databases clients to identify critical data items and analysis

Why trust Jackson Associates (JA) to help with your forecasting, analysis and data needs? The internet is filled with sites offering all kinds of information, often of dubious quality - consider the following:

We provide decision-makers with information that often informs multi-million-dollar investment decisions for some of the largest US corporations.
Our energy, hourly load data, and forecasts/analysis results and our expert witness testimony have supported electric utility and regulatory agency investment decisions in dozens of states.
MAISY data have provided the information basis for development of several US Department of Energy energy efficiency standards.
We were among the first to apply AI machine learning to integrate and validate disparate data sources. Our patented business intelligence (BI) drill-down software (US Patent 5,894,311, Computer-Based Visual Data Evaluation) has been licensed by every major BI software company including Microsoft, SAP, Oracle, and others.


Recent Updates, Notes & White Papers

Agent-Based Model Uses AI to Map Future Utility EV Distribution Challenges; Identifies ZIPs with Greatest Future EV Increases	Built on a $1B Data Asset: AI-Powered Neighborhood Load Forecasts for Utilities	Next-Gen Models: Forecasting EV Loads with Digital Twins. Forecasting New Neighborhood Loads Requires New Tools