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07/12/2023
Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation
Building energy prediction and management has become increasingly import...
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07/03/2023
The Building Data Genome Directory – An open, comprehensive data sharing platform for building performance research
The building sector plays a crucial role in the worldwide decarbonizatio...
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07/03/2023
Utilizing wearable technology to characterize and facilitate occupant collaborations in flexible workspaces
Hybrid working strategies have become, and will continue to be, the norm...
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05/03/2023
District-scale surface temperatures generated from high-resolution longitudinal thermal infrared images
The paper describes a dataset that was collected by infrared thermograph...
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11/17/2022
Longitudinal thermal imaging for scalable non-residential HVAC and occupant behaviour characterization
This work presents a study on the characterization of the air-conditioni...
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10/22/2022
Cozie Apple: An iOS mobile and smartwatch application for environmental quality satisfaction and physiological data collection
People spend the majority of their time indoors and environmental condit...
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10/21/2022
InfraRed Investigation in Singapore (IRIS) Observatory: Urban heat island contributors and mitigators analysis using neighborhood-scale thermal imaging
This paper studies heat fluxes from contributors and mitigators of urban...
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08/22/2022
Elastic buildings: Calibrated district-scale simulation of occupant-flexible campus operation for hybrid work optimization
Before 2020, the way occupants utilized the built environment had been c...
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08/12/2022
Smartwatch-based ecological momentary assessments for occupant wellness and privacy in buildings
This paper describes the adaptation of an open-source ecological momenta...
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08/05/2022
Cohort comfort models – Using occupants' similarity to predict personal thermal preference with less data
We introduce Cohort Comfort Models, a new framework for predicting how n...
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03/13/2022
ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles
Data-driven building energy prediction is an integral part of the proces...
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02/22/2022
Targeting occupant feedback using digital twins: Adaptive spatial-temporal thermal preference sampling to optimize personal comfort models
Collecting intensive longitudinal thermal preference data from building ...
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02/07/2022
Gradient boosting machines and careful pre-processing work best: ASHRAE Great Energy Predictor III lessons learned
The ASHRAE Great Energy Predictor III (GEPIII) competition was held in l...
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10/31/2021
Using Google Trends as a proxy for occupant behavior to predict building energy consumption
In recent years, the availability of larger amounts of energy data and a...
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10/30/2021
Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec
Conventional thermal preference prediction in buildings has limitations ...
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06/25/2021
Limitations of machine learning for building energy prediction
Machine learning for building energy prediction has exploded in populari...
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09/28/2020
Balancing thermal comfort datasets: We GAN, but should we?
Thermal comfort assessment for the built environment has become more ava...
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07/14/2020
The ASHRAE Great Energy Predictor III competition: Overview and results
In late 2019, ASHRAE hosted the Great Energy Predictor III (GEPIII) mach...
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07/04/2020
Humans-as-a-sensor for buildings: Intensive longitudinal indoor comfort models
Evaluating and optimising human comfort within the built environment is ...
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07/01/2020
Build2Vec: Building Representation in Vector Space
In this paper, we represent a methodology of a graph embeddings algorith...
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06/17/2020
Spacematch: Using environmental preferences to match occupants to suitable activity-based workspaces
The activity-based workspace (ABW) paradigm is becoming more popular in ...
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06/03/2020
The Building Data Genome Project 2: Energy meter data from the ASHRAE Great Energy Predictor III competition
This paper describes an open data set of 3,053 energy meters from 1,636 ...
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06/03/2020
The Building Data Genome Project 2: Hourly energy meter data from the ASHRAE Great Energy Predictor III competition
This paper describes an open data set of 3,053 energy meters from 1,636 ...
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10/30/2019
