Residential and Commercial Utility Customer Databases and Forecasting/Analysis Models

Primary MAISY Utility Customer Databases Residential Database 7+ Million actual individual household records across the US Geographic detail: ZIP code areas, counties, utility service areas, etc. SocIo-economic, dwelling unit, end-use energy use, hourly/15-minute electric loads, EV charging loads for each household Commercial Database 600,000+ Commercial US Utility Customer Records building, equipment, occupant, and operational data end-use energy energy use and hourly electric loads for each household Geographic detail: ZIP areas, Metro, Utility, State. ... Summary of all MAISY Databases> Partial list of MAISY Database clients Sample database applications Applications by industry/technology Analysis and consulting projects Read More

The Smart Grid Research Consortium (SGRC) is Back! SGRC 2.0 provides members with individual utility service area SGRC models providing 2030 and 2035 utility, ZIP and neighborhood forecasts: Electricity use and hourly kW loads Future EV ownership and commuting hourly load impacts Demand management program impacts Electrification and price response impacts Extreme weather extreme impacts SGRC models use data from the 7+ million MAISY Residential Utility Customer Database in an AI machine-learning process to model actual utility customers in ZIPs and neighborhoods within each utility service area. An Excel workbook interface provides easy-to-use applications. ... Consortium definition: "A consortium is an association of two or more organizations with the objective of participating in a common activity or pooling their resources for achieving a common goal." source: Wikipedia The Smart Grid Research Consortium (SGRC) was established at Texas A&M University in 2008 to provide utilities with smart grid technology and program cost/benefit models to evaluate new untested technologies/programs for individual utilities. Models reflected unique utility system characteristics to provide utility-specific expected costs and benefit analysis. SGRC management transitioned from Texas A&M to Jackson Associates in 2011 when consortium developer and leader, Dr. Jerry Jackson left his Signature Professorship at A&M and accepted responsibility for meeting continuing needs of Consortium members through his consulting firm. By 2018 field experience with most smart grid technologies and programs provided utility decision-makers with sufficient results to move beyond a model-based decision process. SGRC 2.0 has been re-energized in 2025 to address new electric utility uncertainty challenges that are now more focused on substation, distribution and even tranformer grid threats posed by: increased EV ownership and charging profiles increasing electrification, and weather extremes Assessing these challenges requires knowlege of baseline ZIP and neighborhood whole building utility customer loads and of future EV charging loads, electrification and extreme weather impacts. New SGRC models provide member utilities with the ability to identify these challenges and to explore demand management, pricing and grid upgrade strategies to avoid threats to grid stability. See Consortium Benefits

Not sure exactly what data items you need, or which data items are best for the project at hand? - 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 in client data applications after data delivery. Our no-hassle data-delivery is available as (1) detailed databases, (2) tables and crosstabs or (3) more detailed analysis results with exactly the information you need.

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) See Model Applications

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 take responsibility for data integrity - providing decision-makers with information that often informs multi-million-dollar investment decisions- decisions related to product development, marketing and sales strategies 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. Finally, our analytical reputation is outstanding. We were among the first to apply machine learning to integrate and validate disparate data sources and have extended applications to include a variety of statistical enhancements. Our patented business intelligence drill-down software (US Patent 5,894,311, Computer-Based Visual Data Evaluation) has been licensed by every major business intellegence software and database provider 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	Residential Smart Grid and Load Management Technologies Can Offset Near-term Challenges of Unexpected Surges in Electricity Demand	New RECS whole building and end-use hourly loads data for 18,400+ US households support smart grid, and demand response program development.

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Sample MAISY Clients

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