Residential Demographics, Income, Dwelling Unit, Energy Use/Costs, Emissions and Hourly Loads for More Than 6 Million Individual Households Across the US |
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.
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Partial list of MAISY Database clients Sample database applications Applications by industry/technology Analysis and consulting projects projects |
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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:
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. |
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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. |
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Why trust Jackson Associates (JA) to help with your data needs? The internet is filled with sites
offering all kinds of information, often of dubious quality - consider the following:
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Check out other MAISY resources | ||||
NEW: MAISY RECS Hourly Loads and Emissions Now Available for 18,400+ Household Records. A nearest neighbor process applies actual end-use metered load data to each RECS household to provide 8,760 whole building and end-use hourly kW loads and emissions for individual RECS (DOE/EIA Residential Energy Consumption Survey) records. | ||||
Carbon Accounting databases and services provide
audit-quality residential and
commercial Scope 3 client emission data
with 100% GGP and PCAF compliance.
Data options include: 1 - ZIP average data, 2 - ZIP average data by customer segment or 3 - individual customer emissions data. |
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MAISY Applications Examples, Analysis, and Consulting MAISY data have been used by startups, fortune 100 companies, utilities, government agencies, equipment manufacturers and other energy-related companies for hundreds of energy analysis projects including electric utility forecasting and smart grid forecasting and impact models. |
Recent Updates, Notes & White Papers | ||||
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. | Evaluate current and potential EV/PHEV hourly loads for individual households in any US ZIP code: | New York Attorney General’s emissions lawsuit highlights scope 3 reporting risks associated with innacurate emissions reporting. This paper shows how index-based statistics avoid reporting errors . |
Sample MAISY Clients
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