Res-Intel has extended its geographical information system and artificial intelligence tools to identify low-income apartments that are predicted to qualify for subsidized energy efficiency retrofits. This is important because low-income and historically marginalized households have much higher energy burdens than other households. They spend a greater share of their income on utility bills.
Apartments are considered underserved because they have low participation levels in energy efficiency programs. For example, the federal low-income weatherization program serves only about .002% of eligible households each year.
Many US states require income and size qualifications for apartments to be eligible for public subsidies. Yet, nearly all utilities don’t have the required building or income data to actively recruit these properties. Res-Intel has developed the world’s first census of occupied apartment buildings at each apartment complex. The proprietary dataset is used to design low-income programs, and makes program administration and implementation more effective and equitable.
Get to know your vulnerable residential customers with Res-Intel’s Benchmark.AI software.
Res-Intel is a national leader in mass-scale benchmarking of residential buildings. Its benchmarking engine provides micro-targeted recommendations for property owners and managers to cost-effectively reduce energy and water usage. The Res-Intel software platform has been partially funded under California Energy Commission Public Interest Energy Research grant #57356A/11-12 and #58076A/14-09G.
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