cmiller8
Leader of the Building and Urban Data Science (BUDS) Research Group at the National University of Singapore
National University of SingaporeSingapore
cmiller8's Stars
eugeneyan/applied-ml
đź“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.
ChrisDelClea/streamlit-agraph
A Streamlit Graph Vis
matterport/habitat-matterport-3dresearch
hcmlab/nova
NOVA is a tool for annotating and analyzing behaviours in social interactions. It supports Annotators using Machine Learning already during the coding process. Further it features both, discrete labels and continuous scores and a visuzalization of streams recorded with the SSI Framework.
winstonyym/urbanity
A network-based python package to understand and model urban complexity
buds-lab/ashrae-great-energy-predictor-3-solution-analysis
Analysis of top give winning solutions of the ASHRAE Great Energy Predictor III competition
NREL/BuildingMOTIF
Building Metadata OnTology Interoperability Framework (BuildingMOTIF)
drivendataorg/power-laws-anomalies
buds-lab/google-trends-for-buildings
Data and Code for the Paper "Using Google Trends to Predict Building Energy"
Carleton-DBOM-Research-Group/Building_energy_management_toolkit
A framework for a multi-source, data-driven building energy management toolkit as a synthesis of established data analysis approaches in the literature.
buds-lab/LEAD-1st-solution
1st winning solution in Large-scale Energy Anomaly Detection (LEAD) competition
buds-lab/energy-diffusion
PengyuanLiu1993/GSL-sidewalk-comfort
buds-lab/building-data-directory
buds-lab/ComfortLearn
This repository is the official implementation of ComfortLearn: Enabling agent-based occupant-centric building controls
khnshn/Experiencer
Experiencer is the outcome of an endeavor to create an ESM solution that benefits both researchers and study participants while leveraging physiological sensors of commodity-level wearable devices.
SergeiDBykov/swarm_energAIser
buds-lab/ccm
This repository is the official implementation of Cohort comfort models - Using occupants’ similarity to predict personal thermal preference with less data
FedericoTartarini/dorn-longitudinal-tc-study
JulienLeprince/mc-workshop
A Model-oriented Control (MC) repository to learn about energy system modeling and optimization (control)
buds-lab/data-driven-greenmark
Dataset on Singapore's Green Mark Buildings
buds-lab/elastic-buildings
anik801/BDL_data_1
Data collected from 3 house using BDL system
buds-lab/ashrae-great-energy-predictor-3-error-analysis
Analysis of the Time Series Residuals of the Great Energy Predictor III competition
buds-lab/buildsys22-energy-forecasting-tutorial
buds-lab/project-iris-dataset
INFERLab/FSBrick
Repository for the FSBrick project
aprbw/OoD_Electricity_Forecasting_during_COVID-19
icl-mq/weak-supervision
Urban-Informatics-Lab/learning-occupant-network
Code for paper: Learning socio-organizational network structure in buildings with ambient sensing data