Standard MAISY Commercial and Residential Utility Customer Energy Use and Hourly Load
Database Options
Standard MAISY Commercial and Residential Utility Customer Energy Use and Hourly Load
Databases
- Annual Energy Use for 7+ Million Residential and Commercial US Utility Customer Records
- Electricity, natural gas and fuel oil use
- End-use energy (space heat, air conditioning, etc.)
- Extensive commercial and residential building, equipment, occupant, and operational data
- Data for any geographic area (ZIP, Metro, Utility, State, Region, US)
- 8,760 Whole building and end-use hourly electric loads (kW)
- Optional 15-minute whole building and end-use hourly electric loads (kW)
Click Here for more detail on MAISY Database content,
variables, and applications.
RECS (DOE/EIA Residential Energy Consumption Survey) Hourly Electric Loads and Emissions
(Extensions of the RECS Database to Incude Hourly Loads amd Emissions for Each Household)
- Annual Energy Use for 18,400+ Residential Households in the EIA RECS database
- Electricity, natural gas and fuel oil use
- End-use energy (space heat, air conditioning, etc.)
- Extensive residential building, equipment, occupant, and operational data
- Data for any state
- 8,760 Whole building and (optional) end-use hourly electric loads (kW)
- CO2e emissions by fuel and total
- 92 of the most used original RECS variables with mneumoic replacement for codes(kW)
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Links to the remainig 778 Recs survey variables
Click Here for more detail on MAISY RECS Databases
Scope 3 Financed Emissions for Residential Mortgages and Commercial Real Estate Loans
- Residential and commercial electricity, natural gas and fuel oil use
- ZIP averages, or
- ZIP averages by segments (e.g., household income, commercial floor space, or)
- For individual mortgagors
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Energy & Greenhouse gas emissions for each fuel type for ZIP averages, ZIP segments
or individual mortgage clients
Click Here for more detail on MAISY Financed Emissions
Database and resources.
EV Charging Hourly Loads Databases
- 6.7 million residential households
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Nearest neighbor estimation of individual household EV ownership using data from nearly
1 million national transportation household survey trips data and a statistical ownership model
- Potential EV hourly or 15-minute loads for individual utility customers
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Five EV likelihood ownership categories for each gasoline powered vehicle owner
along with potential EV hourly or
charging load profiles for individual utility customers
Click Here for more detail on MAISY EV customer data.
MAISY Hourly Electric Loads Applications Summary
The table below summarizes many MAISY applications.
Click Here
for additional MAISY Energy Use Database applications detail.
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Application Areas
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Applications
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Clients
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Database
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Scope
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JA Deliverables
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Electric vehicles
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Mkt sizing, mkt potential
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3 EV companies
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Residential
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States
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Databases & analysis
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PV solar
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Product sizing, mkt potential, profit analysis
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3 manufacturer-retailers
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Residential
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States
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Databases & analysis
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Battery storage
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Product sizing, mkt potential, profit analysis
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1 manufacturer, 1 PV solar company
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Residential & Commercial
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States
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Databases & analysis
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Microgrids
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Product evaluation, mkt potential
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1 electric/gas utility
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Residential
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States
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Databases
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Ground source ht pumps
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Mkt potential, profit analysis
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1 electric/gas utility
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Residential
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Florida
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Analysis
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Smart grid tech (2-way thermostats, etc)
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Business case analysis for individual technologies
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20 Electric Utilities
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Residential & commercial
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Utilities/states
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Analysis & Software
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Electricity forecasts (AB models through 2060)
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Utility electricity forecasts/ energy efficiency regulations impacts
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26+ electric utilities, utility organizations
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Residential & commercial
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Utilities/states
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Forecasting software
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Retail electricity suppliers
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Mkt potential, profit analysis
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13 retail electricity suppliers
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Residential & commercial
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States/ national
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Databases
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Govt energy forecasts, technology, program analysis
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Tech analysis, energy forecasts and regulation impact analysis
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2 national labs, DOE, 9 state agencies
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Residential & commercial
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National
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Databases & analysis
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Energy efficiency firms
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Mkt potential, profit analysis
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5 firms
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Residential & commercial
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States/national
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Databases analysis
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Small CHP (cogeneration)
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Product sizing, mkt potential, profit analysis
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2 manufacturers
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Residential & commercial
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National
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Analysis
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Commercial CHP (cogeneration)
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Product sizing, mkt potential, profit analysis
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2 manufacturers
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Commercial
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National
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Databases & Analysis
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Fuel cells
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Product sizing, mkt potential, profit analysis
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3 manufacturers
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Residential & Commercial
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National
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Databases & Analysis
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Cool storage
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Product sizing, mkt potential, profit analysis
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1 manufacturer
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Commercial
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National
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Databases
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Site-based wind
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Mkt potential, profit analysis
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1 manufacturer
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Commercial
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Texas
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Databases
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Cost-of-service analysis
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8760 hourly loads by customer class
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3 electric utilities
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Residential & commercial
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Utilities/states
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Databases & analysis
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Summary
MAISY Commercial and residential hourly load profile databases have been developed from dozens of data sources including utility, association, government
and Jackson Associates proprietary utility customer surveys and detailed appliance engineering analysis.
Databases reflect a statistically valid sample of residential and commercial utility customers throughout the US.
Databases are available for ZIPs,
metropolitan areas, utility service areas, state and regions and other geographic areas.
The 7 million+ customer MAISY databases are large enough to provide drill-down capabilities to individual ZIP code/Metro/State
geographic areas and to further refine analysis results for customer detailed segments without sacrificing accuracy.
This level of specificity is unmatched by any other data source.
Click Here to see a comparison of MAISY and US Department of Energy customer data sources.
MAISY hourly load data for geographic regions differ from
engineering model-based data sources in that they reflect energy use characteristics of
actual commercial buildings and residential dwelling
units in those areas.
instead of using assumptions on electric appliance
holdings, household members, income
levels, etc. The fixed assumption inputs in engineering models
(like those in the DOE/NREL Loads data)
can result in errors of well over 100% when assessing individual customers,
market segments and the entire
market associated with a
geographic location.
Click Here to see issues related to
relying on Department of Energy/NREL/OpenEI sources model-generated energy use and hourly load estimates.
Hourly and 15-minute kW load detail is based on
metered electricity use data.
Databases are provided in CSV or Excel file formats for easy access and analysis
supporting
deep drill-down operations to
develop energy use information for detailed customer segments.
Custom projects can provide Jackson Associates clients with
data summaries and analysis results based MAISY Database analysis.
Features That Make MAISY Utility Customer Energy Use Databases Unique
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The most comprehensive, up-to-date individual utility customer energy use and customer characteristics for any geographic area in the US
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The largest ( 7+ million) database of actual individual utility customer records with building, equipment, operating, occupant, end-use and 8760 hourly energy data
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Electricity use for hourly and 15-minute kW load intervals
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CSV and Excel workbook format for easy access and analysis
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Vetted/applied by over 150 organizations for federal and state appliance and
efficiency standards, utility cost-of-service, energy efficiency and demand response program analysis,
technology and
energy-related market analysis,
product development and assessment,
cost-of-service studies, energy efficiency, smart grid analysis, new technology analysis
(PV, CHP, battery, fuel cells, thermal storage, wind, flywheels
and more), REP and ESCO target marketing, testimony in various state and utility submittals, and more.
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