Multi-state technology assessment
A large Canadian and U.S. utility holding company evaluated technology and market opportunities across five states.
From customer data to practical decisions
MAISY applications across utility planning and energy markets
MAISY customer databases, hourly-load data and forecasting models help utilities, manufacturers, energy companies and public agencies answer detailed questions about customers, technologies and the grid.
150+client organizations
7 million+customer records
8,760hourly loads by customer
Local detailutility, ZIP and smaller areas
Featured utility application
Grid Impact Model for localized planning
The Grid Impact Model builds on MAISY’s customer, technology-adoption and hourly-load analytics to help utilities understand when, where and how residential electrification will affect their systems. It focuses on single-family residential utility customers and can be implemented without transferring customer data or requiring AMI interval data.
Localized EV adoption and charging forecasts
ZIP, block-group and transformer-risk screening
Managed-charging and DSM scenarios
Capital planning and financial evaluation
Coincident peak and 8760 load impacts
Engineering-ready exports and Excel access
Localized insight for utility decisions
Customer adoption8760 charging loadsGrid-risk screeningCapital and program plans
Application library
One data foundation, many planning questions
MAISY applications range from long-term utility forecasting to product-market assessment and customer-level targeting.
Utility forecasting and grid planning
Utilities use MAISY to connect customer characteristics, end-use energy consumption and time-sensitive loads with forecasts, rates, programs and investment decisions.
Residential load and DSM analysis
A Southeastern utility applied residential customer records, 8760 whole-building loads and end-use loads to demand-side management planning.
Rates and revenue analysis
A Southern utility evaluated the revenue effects of alternative rate structures using customer energy-use and load information.
Cost-of-service studies
A municipal utility developed hourly class loads for cost-of-service and rate analysis; a regional power provider conducted related analysis across a five-state area.
DSM adoption forecasting
A Western investor-owned utility used agent-based methods to forecast customer adoption of demand-side management technologies.
Smart-grid planning
A smart-grid organization applied data from 15 utility service areas together with MAISY forecasting models to evaluate programs and technologies.
Technology market assessment
Detailed customer records help product teams identify addressable markets, estimate operating economics and focus sales efforts by customer type and location.
EV and storage opportunities
An automobile manufacturer used MAISY analysis to examine electric-vehicle and storage applications.
Solar market targeting
Solar technology companies used customer and geographic detail to identify promising California markets and assess market potential.
Fuel cells and CHP
Japanese and U.S. manufacturers evaluated fuel-cell and combined-heat-and-power economics, rate impacts and customer opportunities.
Product and market simulation
A major power-generation equipment manufacturer used microsimulation to evaluate customer economics and market potential for distributed technologies.
Storage, DER and demand response
Hourly and 15-minute load profiles reveal when energy is used—essential for evaluating flexible-load technologies and customer programs.
Commercial battery analysis
A battery company evaluated 15-minute loads across 45 commercial customer segments.
Demand-response potential
A demand-response provider assessed annual kWh and peak demand by detailed SIC business category.
Storage profitability
A developer of a new storage technology used customer loads, tariffs and operating assumptions to examine profitability.
Thermal storage
A cool-storage company analyzed 8760 building and end-use loads to identify suitable customer applications.
Distributed-energy scenarios
MAISY has supported assessments of smart-grid technologies, photovoltaics, flywheels, batteries, demand response and virtual power plants.
Retail energy and customer targeting
Customer segmentation can move market strategy from broad averages to the combinations of building, load, rate and location that drive value.
Profit-based targeting
A Texas retail electric provider developed customer profitability scores and targeting strategies.
Digital customer segmentation
An internet-based utility provider used MAISY characteristics and loads to define customer segments.
Market-entry planning
A Southwestern retail provider evaluated market-entry opportunities, while a Midwestern energy service company identified attractive geographic and building segments.
Research and public-sector applications
MAISY’s consistent customer and load framework has also supported national-laboratory and technology-policy research.
Oak Ridge National Laboratory
ORNL used customer and energy information in research concerning advanced coal technologies.
National Renewable Energy Laboratory
NREL applied MAISY information in solar market-penetration analysis.
Efficiency research
Additional projects have assessed efficient technologies and their energy, load and market implications.
A practical workflow
How MAISY is applied
Define the decision
Specify the geography, customer group, technology, rate or planning question that matters.
Select the right detail
Combine customer characteristics, annual and end-use energy, and hourly or 15-minute loads as needed.
Analyze and deliver
Forecast adoption, aggregate loads, test scenarios and deliver results in accessible data files and planning outputs.
Related resources
Explore the data and models behind these applications
Questions and answers
MAISY applications FAQ
What industries use MAISY databases?
Electric and gas utilities, energy service companies, technology manufacturers, automotive companies, retailers, research organizations and national laboratories have used MAISY data and analysis.
How are MAISY databases used for utility applications?
Applications include customer and load forecasting, cost-of-service and rate analysis, DSM and DER planning, technology-adoption analysis, EV forecasting and localized grid-impact evaluation.
How do MAISY databases support EV and electrification analysis?
MAISY links customer characteristics with annual energy use and 8760 hourly loads. This supports localized forecasts of EV adoption, charging behavior, building electrification and changes in coincident peak demand.
What is the relationship between MAISY and the Grid Impact Model?
The Grid Impact Model builds on MAISY customer, adoption and hourly-load analytics to provide localized forecasts and planning outputs for single-family residential utility customers.
Have a planning question?
Tell us the geography, customer segment and decision you need to support.