MAISY Energy and Electric kW Loads Databases

Accurate, easy to use 8760 hourly and more detailed electric load data for residential and commercial customers and market segments

MAISY (Market Analysis and Information System) Databases have been developed from information on more than 7 million individual utility customers throughout the US providing a representative sample of customers for individual metropolitan areas, states, utility service areas and geographic regions. In addition to psychographic, firmographic information, equipment, building, operating characteristics and other customer information, MAISY Databases include 8760 hourly loads and more detailed electric kW load data.

Load data are weather-adjusted to reflect hourly weather data from typical meteorological year (TMY) weather databases for individual weather stations. Users can access and evaluate load profiles for individual customer records or for any grouping of customers defined by location, business, heating fuel and other customer variables in the MAISY Utility Customer Databases. The large number of customers in the databases permits users to develop information for detailed customer types and market segments based on relevant customer characteristics, avoiding the pitfalls of relying on aggregate building average load shapes .

Available load detail is shown below and includes electric kW loads in hourly, and/or 15-minute kW time intervals. End use load detail is also available for each customer record for any of these time intervals. .

MAISY Utility Customer Database characteristics are summarized below:

Day-Type/Month Format - available for electric, natural gas and oil energy use

• Day-type 24-hour load profiles
• Average week day, week end day and peak days
• Each month

Full year 8760 hourly loads and 15-minute loads detailed by

• Individual end uses (space heating, air conditioning, lighting,...)
• Whole building

• Individual end uses (space heating, air conditioning, lighting,...)
• Whole building

Hourly/sub-hourly load data are available for electric, natural gas and oil energy use for any combination of the following dimensions:

• Cities, counties, states/provinces, service areas, specific ZIP code area locations
• Residential and commercial customers
• Customer classes, market segments, individual customers

Customer classes, market segments and individual customers can be defined by any of the customer variables available in the MAISY Utility Customer Databases (see residential and commercial, database variables).

Additional MAISY Hourly load database topics.

Advantages of the MAISY 8760 Hourly Loads Databases
Example client applications
Accessing hourly loads data
Avoiding "prototype" and average load data aggregation errors

Advantages of MAISY Hourly & Sub-Hourly Loads Databases

MAISY Loads Databases have been developed from information on more than 7 million residential and commercial utility customers to provide a statistically representative sample of customers for each state, metropolitan area, service area and other geographic areas. Each customer record includes detailed customer characteristics including total building hourly loads for electricity, natural gas and oil along with end-use hourly loads for space heating, air conditioning, ventilation, water heating, lighting, process, and other end uses. Hourly loads are available for day-types as well as for full 8,760 hours, 15-minute or 0.5-5-minute loads through the year. Jackson Associates provides its clients with load data to meet a variety of needs in technology, energy sales, utility and other energy related markets. Clients include energy suppliers, ESCO's, equipment manufacturers, government agencies and other energy-industry organizations.

The unique strength of the MAISY Databases lies in the large number of scientifically-selected customer records which provide information reflecting all customers rather than information for segment averages or "typical" customers . For example, a utility might want to assess its current general service (commercial) rate structure with respect to customer equity within the rate structure and the extent to which customer diversity creates incentives for distributed generation applications. Load research samples used by utilities are not typically large enough to reliably support this quantitative analysis nor do they include end use electric loads or thermal loads (space heating, water heating, air conditioning) required to conduct distributed generation potential analysis.

Similarly, technology companies typically focus on specific market segments defined by income, dwelling unit size in residential markets and energy use characteristics in commercial markets (e.g., customer whose peak electricity use is 200 and 500kW. )

MAISY 8760 hourly loads and 15-minute loads advantages include the ability to provide:

• Energy use by end use (e.g., electric lighting, air conditioning, etc.) to assess market potential for various smart grid, energy efficiency and demand response programs.
• Evaluations of pricing, profitability, markets sizing, technology market potential, customer profitability and other applications.
• Whole building and end-use hourly and 15-minute loads for individual customer records based on detailed building, operating and equipment characteristics
• Energy use and loads data for any geographic location
• Hourly and 15-minute loads for typical and extreme weather patterns based on historical data for each location
• Additional detailed information on building structure, equipment and operating characteristics for each customer record
• Information which can be merged with existing customer, load research and marketing data

MAISY 8760 hourly loads save time and money by providing immediate information resources at a fraction of the cost required to conduct building and/or end-use metering.

Utility MAISY Client Energy Use and Hourly Loads Database Applications Examples

MAISY Utility Customer Energy Use and Hourly Loads Databases have supported a wide variety of information needs including the following sample applications:

• A large electric utility analyzed hourly and 15-minute load data across six states to assess market potential and other details for a new technology initiative.
• Automobile manufactures have analyzed 8760 whole building residential loads to assess EV grid support opportunities.
• Hourly loads data have been applied for more than a dozen electric utilities to evaluate the business case for smart grid technologies.
• More than a dozen solar, battery, cool storage, wind and other new technology companies have analyzed 8760 whole building residential and commercial loads to support product development, market sizing, marketing and sales strategies.
• Energy service companies across the US and Canada have analyzed energy use by end use (e.g., electric lighting, air conditioning, etc.) to assess the market potential for various energy efficiency and demand response programs and to identify market segments with the greatest potential.
• Retail electricity providers (competitive electricity marketers) have applied hourly loads databases to evaluate customer profitability, to score and target market segments and individual customers.
• Equipment manufacturers have applied hourly loads databases to assist in product design.
• Equipment manufacturers have applied hourly loads databases to evaluate customer profitability, to score and target market segments and individual customers.
• Average hourly loads were provided to a research institute for the 10 NERC regions to conduct analysis of combined heat and power (CHP) energy savings.
• Individual utility customer hourly loads were analyzed along with cost of service data to identify the most profitable market segments for a competitive electricity provider.
• Hourly loads were analyzed along with utilty rate structures to determine market potential for a new energy storage technology.
• Hourly loads were analyzed to evaluate energy-efficiency potentials for target marketing and sales campaigns.
• Rate structure analysis was undertaken for alternative commercial and residential customer rate designs for a regulated utility.
• Whole building loads were integrated with a load research sample to provide an updated sample of customer loads.
• Detailed hourly loads were provided to support load forecasting models for both regulated and competitive electricity providers.
• Whole building and end use hourly load profiles were used by an equipment manufacturer to assist in equipment design.
• Hourly loads for selected market segments were provided to a DG retailer to support target marketing.
• Hourly loads were provided to a distribution utility to develop unbundled rate structures.
• Hourly loads have been provided to deregulated electricity providers, ESCO, electric utilities, and companies considering entering the energy retail markets for market sizing and target marketing.
• Hourly load data, including end use detail, were used to develop market potentials and identify geographic target markets for selected energy service measures for an ESCO.
• Hourly loads databases have been provided to retail electricity providers to develop profitability scoring models.
• Load profiles were provided for electric cooperatives to support rate analysis.
• Hourly load data were used to compute spark spreads for 50 utility service areas based on actual gas and electric tariffs.
• 8,760 hourly loads have been provided for individual building design analysis.
• Hourly loads were used to estimate market potential for power quality products by state.
• Hourly lighting loads were used to evaluate lighting technology profit potentials by state and commercial market segment.

Analysis projects utilize detailed information on individual utility customer hourly loads to answer a variety of client questions. A recent example project analyzed hourly loads for commercial utility customers in all 48 continental states to evaluate cost savings associated with a new load-shifting energy technology. Hourly loads for each utility customer in the database were analyzed to determine electricity bills both with and without an application of the load shifting technology. Results were used to determine market potential associated with the technology and to identify utility, business type and other customer characteristics to identify the most appropriate target segments for marketing these technologies.

See the Other Example Client Applications section for additional examples of utility customer energy use and hourly loads analysis projects completed with MAISY Utility Customer Databases.

Aggregate Hourly Loads Example

Some MAISY Utility Customer Databases projects aggregate information on individual utility customers to provide hourly loads reflecting business type, geographic, rate class or other customer segments. For example a recent project aggregated commercial sector hourly loads for individual NERC regions for a research organization to investigate potential aggregate impacts of policies to encourage combined heat and power (CHP) technology applications in individual commercial facilities. MAISY Utility Customer Databases have also been applied to develop customer class load profiles for utility cost of service studies related to alternative rate designs.

See the Other Example Client Applications

Accessing Hourly Loads Data

Standard MAISY Hourly Loads Databases are provided electronically in CSV or Excel file formats providing easy, familiar access to data evaluation, analysis and export features. Jackson Associates also provides optional EnergyApps that automate access and analysis for specific client applications.

MAISY Database Features Summary: