Conferences

Enhancing Classification of Energy Meters with Limited Labels using a Semi-Supervised Generative Model
Chun Fu, Hussain Kazmi, Matias Quintana, and Clayton Miller
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2023.
From Personal Comfort to District Performance: Using Smartwatch and WiFi Data for Occupant-Driven Operation
Martín Mosteiro-Romero, Matias Quintana, Clayton Miller, and Rudi Stouffs
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2023.
Introducing the Cool, Quiet City Competition: Predicting Smartwatch-Reported Heat and Noise with Digital Twin Metrics
Clayton Miller, Matias Quintana, Mario Frei, Yun Xuan Chua, Chun Fu, Bianca Picchetti, Winston Yap, Adrian Chong, and Filip Biljecki
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2023.
Leveraging campus-scale Wi-Fi data for activity-based occupant modeling in urban energy applications
Martín Mosteiro-Romero, Clayton Miller, Matias Quintana, Adrian Chong, and Rudi Stouffs
Journal of Physics: Conference Series 2600(13), 2023.
The Building Data Genome Directory – An open, comprehensive data sharing platform for building performance research
Xiaoyu Jin, Chun Fu, Hussain Kazmi, Atilla Balint, Ada Canaydin, Matias Quintana, Filip Biljecki, Fu Xiao, and Clayton Miller
Journal of Physics: Conference Series 2600(3), 2023.
Utilizing wearable technology to characterize and facilitate occupant collaborations in flexible workspaces
Kristi Maisha, Mario Frei, Matias Quintana, Yun Xuan Chua, Rishee Jain, and Clayton Miller
Journal of Physics: Conference Series 2600(14), 2023.
From Model-Centric to Data-Centric: A Practical MPC Implementation Framework for Buildings
Sicheng Zhan, Matias Quintana, Clayton Miller, and Adrian Chong
BuildSys '22 Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2022.
ComfortLearn: Enabling agent-based occupant-centric building controls
Matias Quintana, Zoltan Nagy, Federico Tartarini, Stefano Schiavon, and Clayton Miller
Third ACM SIGEnergy Workshop on Reinforcement Learning for Energy Management in Buildings \& Cities (RLEM) (RLEM ’22), 2022.
Towards smartwatch-driven just-in-time adaptive interventions (JITAI) for building occupants
Clayton Miller, Yun Xuan Chua, Mario Frei, and Matias Quintana
The 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys ’22), 2022.
Dataset: Green Mark certified buildings metadata from Singapore
Yi Ting Teo, Matias Quintana, Muhammad Zikry Bin, Charlene Tan, Adrian Chong, and Clayton Miller
The Fifth International Workshop on Data: Acquisition To Analysis (DATA ’22), 2022.
Longitudinal Personal Thermal Comfort Preference Data in the Wild
Matias Quintana, Mahmoud Abdelrahman, Mario Frei, Federico Tartarini, and Clayton Miller
SenSys '21 Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems, 2021.
The Internet-of-Buildings (IoB) – Digital twin convergence of wearable and IoT data with GIS / BIM
Clayton Miller, Mahmoud Abdelrahman, Adrian Chong, Filip Biljecki, Matias Quintana, Mario Frei, Michael Chew, and Wong Daniel
CISBAT 2021 - Carbon Neutral Cities - Energy Efficiency \& Renewables in the Digital Era, EPFL, 2021.
Cohort-Based Personal Comfort Models for HVAC Occupant-Centric Control
Matias Quintana
Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2021. Series Title: BuildSys '21
Project Coolbit: can your watch predict heat stress and thermal comfort sensation?
Negin Nazarian, Sijie Liu, Manon Kohler, Jason K W Lee, Clayton Miller, Winston T L Chow, Sharifah Badriyah Alhadad, Alberto Martilli, Matias Quintana, Lindsey Sunden, and Leslie K Norford
Environ. Res. Lett., 2021.
Balancing thermal comfort datasets: We GAN, but should we?
Matias Quintana, Stefano Schiavon, Kwok Wai Tham, and Clayton Miller
Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2020. arXiv: 2009.13154
Differences in thermal comfort state transitional time among comfort preference groups
Pimpatsohn Sae-Zhang, Matias Quintana, and Clayton Miller
16th Conference of the International Society of Indoor Air Quality and Climate: Creative and Smart Solutions for Better Built Environments, Indoor Air 2020, 2020. Issue: November
Poster Abstract: Towards Class-Balancing Human Comfort Datasets with GANs
Matias Quintana and Clayton Miller
BuildSys '19 Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Built Environments, 2019.
The SDE4 Learning Trail: Crowdsourcing occupant comfort feedback at a net-zero energy building
Tapeesh Sood, Matias Quintana, Prageeth Jayathissa, Mahmoud Abdelrahman, and Clayton Miller
CISBAT2019 Climate Resilient Buildings - Energy Efficiency \& Renewables in the Digital Era, 2019.
Twenty years of building simulation trends : Text mining and topic modeling of the BLDG-SIM email list archive topic modeling of the BLDG-SIM email list archive
Clayton Miller, Matias Quintana, and Jason Glazer
IBPSA2019 Proceedings of the International Building Performance Simulation Association, 2019.
Dataset : Occupancy Detection , Tracking , and Estimation Using a Vertically Mounted Depth Sensor
Fabricio Flores, Sirajum Munir, Matias Quintana, Anand Prakash, and Mario Bergés
DATA'19 Proceedings of the 2nd Workshop on Data Acquisition To Analysis, 2019.
Dataset : Inferring Thermal Comfort using Body Shape Information Utilizing Depth Sensors
Sirajum Munir, Jonathan Francis, Matias Quintana, Nadine Von Frankenberg, and Mario Bergés
DATA'19 Proceedings of the 2nd Workshop on Data Acquisition To Analysis, 2019.
OccuTherm : Occupant Thermal Comfort Inference using Body Shape Information
Jonathan Francis, Matias Quintana, Nadine Von Frankenberg, Sirajum Munir, and Mario Bergés
BuildSys '19 Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Built Environments], 2019.
Project CoolBit Updates : Personal Thermal Comfort Assessments using Wearable Devices
Negin Nazarian, Clayton Miller, Leslie Norford, Manon Kohler, Winston Chow, Jason Lee Kai, Sharifah Badriyah Alhadad, Matias Quintana, Lindsey Sunden, and Alberto Martilli
Geophysical Research Abstracts, 2019.
Is your clock-face cozie ? A smartwatch methodology for the in-situ collection of occupant comfort data
Prageeth Jayathissa, Matias Quintana, Tapeesh Sood, Negin Narzarian, and Clayton Miller
CISBAT2019 Climate Resilient Buildings - Energy Efficiency \& Renewables in the Digital Era, 2019.
Demo: Design and Implementation of a Low-cost Arduino-based High-Frequency AC Waveform Meter Board for the Raspberry Pi
Matias Quintana, Henning Lange, and Mario Bergés
BuildSys '17 Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments, 2017.
Demo: FORK: Fine grained Occupancy estimatoR using Kinect on ARM Embedded Platforms
Sirajum Munir, Le Tran, Jonathan Francis, Charles Shelton, Ripudaman Singh Arora, Craig Hesling, Matias Quintana, Anand Krishnan Prakash, Anthony Rowe, and Mario Berges
BuildSys '17 Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments], 2017.
A comparison of digital modelling techniques analyzing a section of Qhapaq Ñan
Saul Retamozo, Diego Arce, Rafael Aguilar, Fernando Zvietcovich, Matias Quintana, Benjamin Castaneda, and Sergio Angeles
2015 Digital Heritage, 2015.

Journals

Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation
Chun Fu, Matias Quintana, Zoltan Nagy, and Clayton Miller
Applied Thermal Engineering, 2024.
Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight
Antonio Liguori, Matias Quintana, Chun Fu, Clayton Miller, Jérôme Frisch, and Christoph van Treeck
Energy and Buildings, 2024.
A data-driven agent-based model of occupants’ thermal comfort behaviors for the planning of district-scale flexible work arrangements
Martín Mosteiro-Romero, Matias Quintana, Rudi Stouffs, and Clayton Miller
Building and Environment, 2024.
Creating synthetic energy meter data using conditional diffusion and building metadata
Chun Fu, Hussain Kazmi, Matias Quintana, and Clayton Miller
Energy and Buildings, 2024.
Global Streetscapes — A comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics
Yujun Hou, Matias Quintana, Maxim Khomiakov, Winston Yap, Jiani Ouyang, Koichi Ito, Zeyu Wang, Tianhong Zhao, and Filip Biljecki
ISPRS Journal of Photogrammetry and Remote Sensing, 2024.
Translating street view imagery to correct perspectives to enhance bikeability and walkability studies
Koichi Ito, Matias Quintana, Xianjing Han, Roger Zimmermann, and Filip Biljecki
International Journal of Geographical Information Science ahead-of-print(ahead-of-print), 2024.
Cohort comfort models — Using occupant’s similarity to predict personal thermal preference with less data
Matias Quintana, Stefano Schiavon, Federico Tartarini, Joyce Kim, and Clayton Miller
Building and Environment, 2023.
Personal comfort models based on a 6‐month experiment using environmental parameters and data from wearables
Federico Tartarini, Stefano Schiavon, Matias Quintana, and Clayton Miller
Indoor Air 32(11), 2022.
ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles
Matias Quintana, Till Stoeckmann, June Young Park, Marian Turowski, Veit Hagenmeyer, and Clayton Miller
Energy & Buildings, 2022. arXiv: 2203.06618 Publisher: Elsevier B.V.
Humans-as-a-sensor for buildings: Intensive longitudinal indoor comfort models
Prageeth Jayathissa, Matias Quintana, Mahmoud Abdelrahman, and Clayton Miller
Buildings 10(174), 2020.
Islands of misfit buildings: Detecting uncharacteristic electricity use behavior using load shape clustering
Matias Quintana, Pandarasamy Arjunan, and Clayton Miller
Building Simulation, 2019.

Preprints

Creating synthetic energy meter data using conditional diffusion and building metadata
Chun Fu, Hussain Kazmi, Matias Quintana, and Clayton Miller
arXiv, 2024.
Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation
Chun Fu, Matias Quintana, Zoltan Nagy, and Clayton Miller
arXiv, 2023.
Utilizing wearable technology to characterize and facilitate occupant collaborations in flexible workspaces
Kristi Maisha, Mario Frei, Matias Quintana, Yun Xuan Chua, Rishee Jain, and Clayton Miller
arXiv, 2023.
The Building Data Genome Directory -- An open, comprehensive data sharing platform for building performance research
Xiaoyu Jin, Chun Fu, Hussain Kazmi, Atilla Balint, Ada Canaydin, Matias Quintana, Filip Biljecki, Fu Xiao, and Clayton Miller
arXiv, 2023.
Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight
Antonio Liguori, Matias Quintana, Chun Fu, Clayton Miller, Jérôme Frisch, and Christoph van Treeck
arXiv, 2023.
Cohort comfort models -- Using occupants' similarity to predict personal thermal preference with less data
Matias Quintana, Stefano Schiavon, Federico Tartarini, Joyce Kim, and Clayton Miller
arXiv, 2022.
ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profile
Matias Quintana, Till Stoeckmann, June Young Park, Marian Turowski, Veit Hagenmeyer, and Clayton Miller
arXiv, 2022.
Balancing thermal comfort datasets: We GAN, but should we?
Matias Quintana, Stefano Schiavon, Kwok Wai Tham, and Clayton Miller
arXiv, 2020.
Indoor Comfort Personalities: Scalable Occupant Preference Capture Using Micro Ecological Momentary Assessments
Prageeth Jayathissa, Matias Quintana, Mahmoud Abdelrahman, and Clayton Miller
arXiv, 2020.