Our Market Insights team provide our clients with the best way to answer the question “why?” Our team studies customers’ and market actors’ relationships with electrification strategies and technologies to identify the most effective approaches—from messaging and training to program design and incentives—to increase customer adoption of electrification technologies.

Our team is on the forefront of the changing evaluation and cost-effectiveness landscape nationwide. New applications of energy resource technologies, such as air source heat pumps, heat pump water heaters, thermal storage, and other Distributed Energy Resources (DERs), do not have a rich history of measurement and verification. Our expertise ensures that electrification and decarbonization outcomes capture the changing value streams of relevant policy while adhering to industry best practices.

Our engineering team studies the theoretical and practical effects of electrification technologies. We study the electric load, net energy and emissions impacts as well as performance drivers to understand the variability and reliability of those effects across customer segments, time of year, weather patterns, and energy supply mix. Our analysis of net energy and hourly grid effects support forecasting, program design, evaluation, and TRM development.

Our Data Analytics team leverages modeling and analytical approaches to measure electrification and decarbonization of individual buildings and the electric grid. Our expertise spans load profiling of equipment, homes, and the grid; modeling of locational, temporal, and total net grid impacts; and estimation of stacked net impacts from energy efficiency, demand response, and electrification sources.

Our Data Management team collects, ingests, and manages the diverse range of data sources needed to characterize markets, track program activity, monitor equipment performance, measure customer- and grid-level impacts, and track market transformation over time. Our team of data engineers and data scientists are adept at accessing multiple data formats, including designing application programming interfaces (APIs); connecting to existing data channels to access interval data from end-use equipment, submeters, and utility meters; and integrating customer survey responses into customized data warehouses.