Building and Urban Data Science (BUDS) Group
- Singapore
- http://www.budslab.org
- clayton@nus.edu.sg
Repositories
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ashrae-great-energy-predictor-3-solution-analysis
Analysis of top give winning solutions of the ASHRAE Great Energy Predictor III competition
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diff-transitional-thermal-comfort
This repository is the official implementation of Differences In Thermal Comfort State Transitional Time Among Comfort Preference Groups
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building-data-genome-project-2
Whole building non-residential hourly energy meter data from the Great Energy Predictor III competition
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newsitedemo
current website demo
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comfortGAN
This repository is the official implementation of Balancing thermal comfort datasets: We GAN, but should we?
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website-dev
A development repo for testing new gh pages before deployment
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ashrae-great-energy-predictor-3-overview-analysis
Paper in Science and Technology for the Built Environment about the GEPIII Competition
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humans-as-a-sensor-for-buildings
Implementation of the Humans-as-a-Sensor for Buildings paper.
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energystar-plus-plus
Using Gradient Boosting Trees and Explainable ML for Commericial Building Benchmarking
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spacematch-paper
spacematch paper repo
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data-science-for-construction-edx-course-notebooks
Jupyter/Colab Notebooks for Data Science for Construction, Architecture and Engineering
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temporal-features-for-nonres-buildings-library
Jupyter notebooks for the Energy and Buildings Publication
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cozie-examples
Repository of example scripts to interface with the cozie app
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buds-lab.github.io
BUDS Lab Website
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iob
Internet of Buildings Center
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style-guide
The budslab style guide
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psychrometric-chart-makeover
Adding more dimension to the psychrometric chart
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the-building-data-genome-project
A collection of non-residential buildings for performance analysis and algorithm benchmarking
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generative-methods-for-human-comfort
Human comfort datasets are widely used for multiple scenarios in smart buildings. From thermal comfort prediction to personalized indoor environments, labelled subjective responses from participants in a experiment are required to feed different machine learning models. However, many of these dataset are small in samples per participants, number…
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what-to-wear
Wearables, in all shape or form, have been widely used in many field in the last years. However, their penetration in the built en- vironment has plateau as data sources and not integrated in the complete control loop. In this paper we revise role of wearables and subjective human responses with a focus on their use for control strategies in sma…
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island-of-misfit-buildings
Detecting mixed-use or primary-space-use outliers using load shape clustering
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cisbat-cozie-paper
LaTex and Data Analysis for Cozie Watchface Paper for CISBAT 2019
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cisbat-learning-trail-paper
CISBAT Learning Trail Publication 2019 - Latex Assets, Graphics, and Data
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twenty-years-of-bldgsim-textmining
Text mining the email repository of the BLDG-SIM list serv
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united-world-college-open-data
An IPython notebook analysis of the UWC Tampines commercial building dataset
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responsive-tachyons-web-template
Forked from pjayathissa/responsive-tachyons-web-templateA simple lightweight html template using tachyons-css
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building-prediction-benchmarking
An array of open source ML models applied to long-term hourly energy prediction for institutional buildings
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learning-trail-scroller-demo
Scrollytelling Demo for Learning Trail Stations