MAISY DATABASE AND ANALYTICS PRODUCTS

MAISY Databases provide critical residential socio-economic, building, appliance, energy use & cost, hourly load data, commuting and other data for households and commercial establishments across the US. Clients include retail companies (PV, energy efficiency, retail electric providers), market technology developers (fuel cell, battery storage, wind, CHP), equipment manufacturers (PV, EV, smart grid), electric utilities (smart grid technology analysis and forecasts), and state and federal government agencies. Clients range from start-ups to companies at the top of the fortune 100 list. ... Partial list of MAISY Database clients Sample database applications Applications by industry/technology Analysis and consulting projects projects Read More

ACS-MAISY Databases provide unique household and dwelling unit information based on state-of-the-art AI machine learning processes that integrate US Census American Community Survey (ACS) data with information from dozens of public and proprietary databases. These databases provide the most comprehensive, accurate information on US household demographics, income, dwelling units, energy use and other items. These databases also provide ZIP-level cross tab analysis - a feature not available with Census data. ... Separate ACS-MAISY data categories include: Socio-economic data items from official Census Department ACS surveys with actual household data on each record Additional data items appended to each ACS household record: 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) Annual Energy Use by end-use and fuel type (space heat, water heat, etc.) 8760 and 15-minute kW loads (whole building and end-use, including EVs, monthly averages) The ACS-MAISY data provides extended drill-down and crosstab capabilities for individual ZIP codes - a capability not available with Census-provided ACS data. See Data Categories NOTE: Textual AI results and Data AI results apply completely different software technologies. Textual AI reflects subjective incorporation of internet text, while Data AI reflects objective results based on long-standing, accepted statistical and algorithmic processes. See more on ACS-MAISY AI.

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. Our data extraction costs start at $195.

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 analytic 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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