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LuminLab: An AI-Powered Building Retrofit and Energy Modelling Platform

2024/04/14 by Kevin Credit, Qian Xiao, Credit, Kevin +8 · 1 citation
Engineering · #Artificial Intelligence (cs.AI) #BIM and Construction Integration #Building Energy and Comfort Optimization #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC)

paper · pdf · doi:10.48550/arxiv.2404.16057

openalex publication_date 2024/04/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This paper describes the technical and conceptual development of the LuminLab platform, an online tool that integrates a purpose-fit human-centric AI chatbot and predictive energy model into a streamlined front-end that can rapidly produce and discuss building retrofit plans in natural language. The platform provides users with the ability to engage with a range of possible retrofit pathways tailored to their individual budget and building needs on-demand. Given the complicated and costly nature of building retrofit projects, which rely on a variety of stakeholder groups with differing goals and incentives, we feel that AI-powered tools such as this have the potential to pragmatically de-silo knowledge, improve communication, and empower individual homeowners to undertake incremental retrofit projects that might not happen otherwise.

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