Res-Intel’s Benchmark.AI™ toolset performs mass-scale building energy benchmarking and equitable building decarbonization

The toolset optimizes energy efficiency programs that lower energy burdens and improve resilience to climate change. 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 demand side management and decarbonization programs.

Flexible, AI-Driven Technology for Residential Inventories and Recommendations

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 toolset can be tailored to either local governments seeking to meet climate targets or utilities meeting regulatory requirements.
  • Separate Utility and Customer Dashboards allow secure, customized analytics for both program managers and residents.
  • eBase, an optional module, adds portfolio-wide demand-side management impact monitoring and evaluation in nearly real-time.

AI-Driven Automation Fills In The Data Gaps

The core of the Benchmark.AI toolset is an AI analysis engine. This engine creates a residential property and building inventory from a variety of data sources stored in the data lake, and fills in missing information through AI-driven automation. Once completed, the engine offers energy efficiency recommendations and behavioral insights about each property.

The AI analysis engine scores each property’s energy efficiency on a scale of 1-100 based on how that property’s energy use compares to similar properties.

Innovative software audits thousands of properties quickly and remotely, giving energy usage patterns about all residential customers at a cost of pennies per property.

Utility Dashboard Simplifies Visualization, Management and Analysis

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 and equitable decarbonization of residential and commercial buildings, thereby enhancing program performance and adding security.

  • The Utility Dashboard includes software reporting that maps and visualizes customer information so the user can interact with data and envision new programs.
  • Filter map data by income level, energy use intensity, ZIP code, and more to get tailored energy efficiency recommendations micro-targeted to each property.
  • Quickly explore which residential properties are high quality candidates for building electrification.
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Customer Dashboard Empowers Energy Users to Save Energy and Money

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

  • Customers can log into the Dashboard, type in their address, and instantly receive a benchmark score.
  • The Customer Dashboard builds trust and transparency between residents, utilities, and local governments.
  • Personalized energy use intensity data is more likely to lead to action — customers will participate in energy efficiency programs and invest in retrofits after seeing estimated savings.

Optional Module Tracks Progress in Near Real Time

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.

  • eBase also include program-level results of the differences between measures’ deemed savings versus their weather normalized metered savings.
  • These insights occur in near real-time to identify problems with contractor installations, data entry problems, and other quality control problems.
  • The reporting enables higher program savings and greater customer satisfaction with demand-side management programs.

Advanced Analysis Reveals Causes of Energy Inequity

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.

  • Linking building data and community attributes with energy billing data drives new insights on customer behavior.
  • Accurate energy-use intensity metrics can help reduce the burden on low-income households.
  • Res-Intel offers modeling services using state-of-the-art machine learning algorithms often not offered by competing firms.
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Data Pipeline Collects All Available Information Into Data Lake

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.

  • Data sources include Real Estate Data, OpenStreetMaps, US Census, county assessor, satellite imagery, GIS, and building footprint data.
  • Data security is our priority. All of Res-Intel’s results are available through a secure API.

Talk to Res-Intel About Optimizing Your Demand Side Management Program

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.

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