This $1,599,996 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to Purdue University aims to develop smart energy assistants to help mitigate energy-related disparities in affordable housing communities. The key products and services to be delivered include:
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Developing a community-shared knowledge platform to collect and organize sociotechnical data on energy usage and needs in affordable housing.
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Integrating a counterfactual engine using a Bayesian approach to reveal causal links between socioeconomic factors and energy system determinants.
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Generating customized policy interventions tailored to the unique needs of each target community.
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Leveraging large language models (LLMs) in an AI layer to facilitate effective communication between residents, stakeholders, and the developed tools and databases.
The grant supports a 3-year research effort with a planned implementation in five pilot communities in Indiana, with the goal of ultimately extending the benefits to 4.5 million affordable housing units nationwide.
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