Prepared to your specifications

Custom hourly-load profile data

MAISY customer databases provide residential and commercial load profiles for any U.S. ZIP-defined geography—in day-type, 8,760-hour and residential 15-minute formats.

7+ millioncustomer records
8,760annual hourly observations
15-minuteresidential load option
Any U.S. areaZIP-defined geography
Custom data service

Get the required load data without processing the databases in-house

Rather than processing the MAISY Utility Customer Databases internally, clients can ask Jackson Associates to develop custom hourly-load profile data and provide the results electronically.

This option adds our load-profile analysis experience to the data-development process, helping clients define information that directly addresses their application. It also avoids delays and missteps that can occur with unfamiliar in-house processing, producing more timely and often less costly results.

Custom datasets can be defined for a ZIP code, metropolitan area, utility service area, state, region or another user-specified geography. Requested customer characteristics and segmentation variables are included in the output.

Available time resolutions

Choose the load format that fits the analysis

Day-type profiles

Hourly loads for weekday, peak-day and weekend-day types for each of the twelve months, available for residential and commercial customers.

8,760 hourly loads

Loads for every hour of the year for residential and commercial customers, suitable for forecasting, technology and market analysis.

15-minute loads

Higher-resolution residential customer loads for applications requiring sub-hourly demand and coincidence detail.

Customer and market detail

Build the dataset around the customers that matter

Detailed segmentation reveals variations hidden within broad residential and commercial customer classes.

Commercial segmentsTwenty to thirty-five building types, with as many as nine establishment-size categories.
Residential segmentsUp to five income categories, five demographic categories and three dwelling-unit categories.
LocationsZIP codes, metropolitan areas, utility service areas, states, regions and user-specified geographic areas.
Energy sourcesElectricity, natural gas and fuel oil in day-type/month or 8,760-hour formats. Residential electricity is also available at 15-minute resolution.
Delivery formatsCSV files and standard Excel workbooks for straightforward processing and application.
Applications

Use custom profiles across market, technology and utility studies

Hourly-load information can strengthen any market-oriented energy application that depends on customer diversity, timing or end-use detail.

Market sizing
Market segmentation
Sales targeting
Product development
Technology potential
Program-impact analysis
Combined heat and power
Distributed-energy analysis
Utility load research

Electricity, natural gas and fuel-oil loads

Although most custom requests involve electricity, MAISY databases also include hourly natural-gas and fuel-oil loads. These data are available in day-type/month or 8,760-hour formats and are useful for evaluating technologies such as combined heat and power, where recovered heat offsets fossil-fuel consumption.

How MAISY differs from prototype load shapes

MAISY hourly-load profiles were developed from information on more than seven million individual residential and commercial customers throughout the United States. This customer-level foundation provides detail that is not available from approaches based only on engineering prototypes for broad building categories.

For example, MAISY can distinguish among banks, real-estate agencies, insurance agencies, physicians’ offices, dentists’ offices, engineering services and many other office uses. Other sources commonly provide only large, medium and small office prototypes. Residential profiles can likewise be defined by income, dwelling-unit size and age, space-heating fuel and other characteristics important to a particular technology or program.

Engineering-model profiles—including public OpenEI and NREL resources—are useful for many applications, but aggregate prototype buildings may miss the variation among actual buildings, business types and establishment sizes that can be critical in market, technology and program analysis.

Why the detail matters: Two customers placed in the same broad building class can have very different load timing, end uses and technology potential. Custom MAISY extracts preserve the segmentation needed to see those differences.

Experience behind the data

Jackson Associates has provided utility-customer databases and energy analysis since 1995. Our client list includes leading utilities, government agencies, research organizations, consultants and energy companies.

Define a custom hourly-load dataset

Tell us the geography, customer segments, energy sources and time resolution required for your analysis.

Request information