MAISY Database Applications Across the Energy Industry
MAISY Energy Use and Hourly Load Databases have been applied to utility forecasting, EV analysis, smart grid planning, demand response, DER evaluation, battery storage, technology market assessment, and customer segmentation applications across the energy industry.
- Utility load forecasting and hourly load analysis
- EV charging and electrification analysis
- DSM, DER, storage, and VPP planning
- Technology market sizing and targeting
- Customer segmentation and profitability analysis
- 8760 and 15-minute load profile applications
Newest Application Area: Grid Impact Model for Utilities
The Grid Impact Model (GIM) is Jackson Associates' newest utility planning application built on MAISY customer databases and hourly load intelligence.
GIM applies AI-assisted customer digital twins and localized hourly load forecasting to identify where EV adoption, electrification, customer growth, and extreme weather are likely to create transformer and feeder stress for electric cooperatives, municipal utilities, and investor-owned utilities.
The model evaluates managed charging, DSM, DER, storage, and VPP strategies and provides customer-, block group-, ZIP-, and service-area-level hourly load results for utility planning, capital prioritization, and engineering analysis support.
Application Categories
Utility Forecasting and Grid Planning Applications
Large Canadian and US Utility Holding Company: Provided detailed residential hourly loads data for five states to assess new energy-related technology.
Southeastern Electric Utility: Provided residential 8760 hourly loads including end-use detail to support demand side management evaluations.
Southern US Utility: Provided 8760 hourly load data and market assessment to determine impacts of changes in rate structures on utility revenue.
Municipal Utility: Provided hourly load by customer class for a cost-of-service and rate development application.
Large Regional Power Provider: Provided 8760 hourly customer-class load data for five states for use in cost-of-service and rate design.
Western Investor-Owned Utility: Developed an agent-based microsimulation model to determine market potential and adoption of alternative energy conservation measures under various DSM programs.
Smart Grid Organization: Provided electricity use and hourly load information for 15 utility service areas along with end-use hourly load forecasting models.
Technology Market Assessment Applications
Major Automobile Manufacturer: Provided residential hourly loads, household, and commuting data to assess EV battery storage issues.
California Solar Company: Evaluated residential customer segment hourly load characteristics in five geographic areas to identify target segments.
Japanese Fuel Cell Company: Provided detailed US market potential for residential fuel cell applications based on hourly load characteristics and utility rate structures.
Japanese Manufacturing Company: Analyzed US market potential for natural gas combined heat and power systems.
Large US Power Generation Equipment Manufacturer: Provided customer-detailed microsimulation databases and consulting support for fuel cell and CHP technology analysis.
Solar Technology Company: Provided detailed hourly load data for product development and market strategy applications.
Storage, DER, and Demand Response Applications
Battery Storage Company: Conducted a market sizing and segmentation analysis using 15-minute load data for 45 commercial building segments.
Demand Response Provider: Provided electricity and peak demand detailed by 4-digit SIC code for commercial and industrial customers.
New Electric Energy Storage Technology Company: Conducted market profitability analysis of new electricity storage technologies based on utility customer hourly loads and rate structures.
New Cool Storage Technology Company: Provided commercial customer databases including 8760 hourly loads by end use.
Various Clients: Conducted analysis of smart grid technologies, DER, photovoltaic systems, flywheels, battery storage, demand response technologies, and VPP-related strategies.
Retail Energy and Customer Targeting Applications
Texas Retail Energy Provider: Developed residential and commercial customer profit scoring models and customer targeting models.
Internet Utility Electricity Provider: Assisted in market segmentation and customer targeting using customer, energy use, technology, psychographic, and firmographic data.
Southwestern Retail Energy Provider: Assisted in determining retail market potential as part of market-entry analysis.
Midwestern Energy Service Company: Evaluated geographic and building market segments to assess energy-service product opportunities.
Research and National Laboratory Applications
Oak Ridge National Laboratory: Conducted market potential analysis of new coal-fired technologies.
National Renewable Energy Laboratory: Conducted market penetration analysis of solar technologies through 2020.
Various Clients: Conducted analysis of energy-efficient lighting, HVAC, refrigeration, water heating, building shell technologies, EMS systems, and energy control technologies.
MAISY Applications FAQ
What industries use MAISY databases?
MAISY databases have been used by electric utilities, technology companies, national laboratories, energy service companies, consultants, investors, and manufacturers.
How are MAISY databases used for utility applications?
Utilities use MAISY data for hourly load forecasting, rate analysis, demand response evaluation, technology planning, EV analysis, and localized grid impact assessment.
How do MAISY databases support EV and electrification analysis?
MAISY customer data and hourly load profiles support EV ownership forecasting, charging load analysis, customer segmentation, and localized transformer and feeder impact studies.
What is the relationship between MAISY and the Grid Impact Model?
The Grid Impact Model builds on MAISY customer databases and hourly load intelligence to provide AI-assisted utility distribution stress analysis and EV/electrification planning.