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

Kevin Credit, Qian Xiao, Jack Lehane, Juan Vazquez, Dan Liu +1 more
4/14/2024
cs.HCcs.AI

No confident code implementation found for this paper. 1 possible match can be shown below.

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.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 1 weaker match is hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Conversational Agents for Building Energy Efficiency -- Advising Housing Cooperatives in Stockholm on Reducing Energy Consumption

78% match2025

From Perception to Action: Can UI Interventions Foster Sustainable LLM Chatbot

77% match2026

Comparing Software Developers with ChatGPT: An Empirical Investigation

77% match2023

Learning from Elders: Making an LLM-powered Chatbot for Retirement Communities more Accessible through User-centered Design

76% match2025

Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments

76% match2024

Let's have a chat! A Conversation with ChatGPT: Technology, Applications, and Limitations

76% match2023

Cite this paper

@article{credit2024luminlab,
  title  = {LuminLab: An AI-Powered Building Retrofit and Energy Modelling Platform},
  author = {Kevin Credit and Qian Xiao and Jack Lehane and Juan Vazquez and Dan Liu and Leo De Figueiredo},
  year   = {2024},
  eprint = {2404.16057},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2404.16057v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2404.16057.svg)](https://codeofpaper.com/paper/2404.16057)

Discussion