The toolset optimizes energy efficiency programs that lower energy burdens, mitigate the impact of climate change, and improve financial performance. It supports an AI-enhanced workflow that quickly completes the property and building inventory and analysis, all visible through easy-to-use dashboards, to drive efficient energy efficiency (EE) programs.
The Benchmark.AI toolset is a software suite that combines inexpensive, remote building energy benchmarking with a powerful predictive analysis engine. A complete building inventory feeds into an intuitive dashboard that offers energy efficiency recommendations to customers while measuring the energy use intensity (EUI) and energy burden of individual residences.
The Benchmark.AI Utility Dashboard is an intuitive interface for program managers to explore the results of the Residential Building Characterization. The Utility Dashboard is designed to improve output visualization, management and analysis for mass-scale benchmarking of residential buildings, thereby enhancing program performance and adding security.Download PDF
The Benchmark.AI Customer Dashboard allows energy users to see how their energy use intensity compares to their neighbors and the regional average. The Customer Dashboard also allows residents to view personalized energy efficiency recommendations and track their energy savings over time. Personalized energy use intensity data is more likely to lead to action
The eBase module automates the steps required to process energy data from advanced metering infrastructure (AMI) and estimate program savings. The module includes popular net-metered energy consumption methods such as CalTRACK in addition to more cutting-edge machine learning tools. These data and statistics feed directly into our internally-developed reporting and monitoring tools designed to aid program managers when assessing the impacts of demand-side management programs.
Property and energy data alone can’t help most utility and government energy efficiency programs without advanced analytics to interpret it. That’s why Res-Intel’s data scientists perform net-metered energy consumption (NMEC) analysis as well as difference-in-difference regression analysis to discover the story behind the statistics, and the underlying causes of unequal energy burdens.Click for Summary
Utility and government residential energy programs rely on property and building inventories for accurate and detailed assessments of opportunities for efficiency improvements. But the lack of a complete information source, especially for the multifamily sector, prohibits accurate inventories. The resources required to collect and analyze disparate datasets remains the biggest hurdle to energy efficiency programs. The Benchmark.AI toolset collects all available data, creates the property and building inventories, and performs the analysis needed to plan and monitor energy efficiency programs effectively.
The team at Res-Intel believes in the power of advanced analytics to improve DSM programs, reduce the energy burden on marginalized households and protect the environment. We’re ready to be of service if you have these goals too! Contact us for more information or a demo.