Building and Urban Data Science (BUDS) Group
Building and Urban Data Science (BUDS) at the National University of Singapore
Singapore
Pinned Repositories
ashrae-great-energy-predictor-3-solution-analysis
Analysis of top give winning solutions of the ASHRAE Great Energy Predictor III competition
building-data-genome-project-2
Whole building non-residential hourly energy meter data from the Great Energy Predictor III competition
building-prediction-benchmarking
An array of open source ML models applied to long-term hourly energy prediction for institutional buildings
comfortGAN
This repository is the official implementation of Balancing thermal comfort datasets: We GAN, but should we?
google-trends-for-buildings
Data and Code for the Paper "Using Google Trends to Predict Building Energy"
humans-as-a-sensor-for-buildings
Implementation of the Humans-as-a-Sensor for Buildings paper.
longitudinal-personal-thermal-comfort
Official repository for Dataset: Longitudinal personal thermal comfort preference data in the wild
python-for-building-analysts
Jupyter notebook tutorials to teach scripting to building performance analysis experts
simple-building
Simplified Building Simulation Engine
the-building-data-genome-project
A collection of non-residential buildings for performance analysis and algorithm benchmarking
Building and Urban Data Science (BUDS) Group's Repositories
buds-lab/building-data-genome-project-2
Whole building non-residential hourly energy meter data from the Great Energy Predictor III competition
buds-lab/ashrae-great-energy-predictor-3-solution-analysis
Analysis of top give winning solutions of the ASHRAE Great Energy Predictor III competition
buds-lab/google-trends-for-buildings
Data and Code for the Paper "Using Google Trends to Predict Building Energy"
buds-lab/buds-lab.github.io
BUDS Lab Website
buds-lab/humans-as-a-sensor-for-buildings
Implementation of the Humans-as-a-Sensor for Buildings paper.
buds-lab/LEAD-1st-solution
1st winning solution in Large-scale Energy Anomaly Detection (LEAD) competition
buds-lab/energy-diffusion
buds-lab/building-data-directory
buds-lab/ComfortLearn
This repository is the official implementation of ComfortLearn: Enabling agent-based occupant-centric building controls
buds-lab/psychrometric-chart-makeover
Adding more dimension to the psychrometric chart
buds-lab/aldiplusplus
This repository is the official implementation of ALDI++: Automatic and parameter-less discorddetection for daily load energy profiles
buds-lab/comfortGAN
This repository is the official implementation of Balancing thermal comfort datasets: We GAN, but should we?
buds-lab/longitudinal-personal-thermal-comfort
Official repository for Dataset: Longitudinal personal thermal comfort preference data in the wild
buds-lab/ccm
This repository is the official implementation of Cohort comfort models - Using occupants’ similarity to predict personal thermal preference with less data
buds-lab/data-driven-greenmark
Dataset on Singapore's Green Mark Buildings
buds-lab/elastic-buildings
buds-lab/ashrae-great-energy-predictor-3-error-analysis
Analysis of the Time Series Residuals of the Great Energy Predictor III competition
buds-lab/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 of participants, or suffer from a class-imbalanced of its subjective responses. In this work we explore the use of Generative Adversarial Networks to generate synthetic samples to be used in combination with real ones for data-driven applications in the built environment.
buds-lab/buildsys22-energy-forecasting-tutorial
buds-lab/ema-for-occupant-wellness-and-privacy
Cozie deployment for Indoor Air 2022 Paper on Occupant Wellness and Privacy
buds-lab/project-iris-dataset
buds-lab/abm-demo
OpenAI workshop for occupant-centric applications
buds-lab/Filling-time-series-gaps-using-image-techniques
buds-lab/annex79-2022-sg
Annex79 website
buds-lab/annex79-sg
Website for the RLEM Workshop
buds-lab/calma-esse-heat-stress-public
Private repository for the Cozie-Apple deployment leady be Ben
buds-lab/cisbat-learning-trail-paper
CISBAT Learning Trail Publication 2019 - Latex Assets, Graphics, and Data
buds-lab/occupant-interactions-workspaces
Pilot data on identifying and contextualising occupant interactions within hybrid workspaces
buds-lab/osk-orenth-usk-jitai-buildingandenv-journal-paper-PUBLIC
Private repository for the paper titled 'Nudging comfort in the built environment: Using smartwatch-based Just-in-time Adaptive Interventions (JITAI) for mitigating urban-scale heat and noise'
buds-lab/sgan_energy_meters