mlsanityData to 14 Oct 2026

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

arXiv 2404.16057 ↗First posted 14 Apr 2024cs.HC cs.AIcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 3 of its 10 references that are in the map. First posted on arXiv 14 Apr 2024.

Builds on

3 of 10 references.

References · 3

  1. 2017A Unified Approach to Interpreting Model Predictionscited by 6,555
  2. 2016"Why Should I Trust You?": Explaining the Predictions of Any Classifiercited by 5,070
  3. 2021SCARF: Self-Supervised Contrastive Learning using Random Feature Corruptioncited by 156

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