Clayton Miller

Orcid: 0000-0002-1186-4299

According to our database1, Clayton Miller authored at least 42 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight.
CoRR, 2023

Semantic segmentation of longitudinal thermal images for identification of hot and cool spots in urban areas.
CoRR, 2023

BIM-to-BRICK: Using graph modeling for IoT/BMS and spatial semantic data interoperability within digital data models of buildings.
CoRR, 2023

Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation.
CoRR, 2023

Utilizing wearable technology to characterize and facilitate occupant collaborations in flexible workspaces.
CoRR, 2023

District-scale surface temperatures generated from high-resolution longitudinal thermal infrared images.
CoRR, 2023

A Dynamic Urban Digital Twin Integrating Longitudinal Thermal Imagery for Microclimate Studies.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

From Personal Comfort to District Performance: Using Smartwatch and WiFi Data for Occupant-Driven Operation.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Introducing the Cool, Quiet City Competition: Predicting Smartwatch-Reported Heat and Noise with Digital Twin Metrics.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Enhancing Classification of Energy Meters with Limited Labels using a Semi-Supervised Generative Model.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

2022
Longitudinal thermal imaging for scalable non-residential HVAC and occupant behaviour characterization.
CoRR, 2022

Cozie Apple: An iOS mobile and smartwatch application for environmental quality satisfaction and physiological data collection.
CoRR, 2022

InfraRed Investigation in Singapore (IRIS) Observatory: Urban heat island contributors and mitigators analysis using neighborhood-scale thermal imaging.
CoRR, 2022

Elastic buildings: Calibrated district-scale simulation of occupant-flexible campus operation for hybrid work optimization.
CoRR, 2022

Smartwatch-based ecological momentary assessments for occupant wellness and privacy in buildings.
CoRR, 2022

Cohort comfort models - Using occupants' similarity to predict personal thermal preference with less data.
CoRR, 2022

ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles.
CoRR, 2022

Targeting occupant feedback using digital twins: Adaptive spatial-temporal thermal preference sampling to optimize personal comfort models.
CoRR, 2022

Gradient boosting machines and careful pre-processing work best: ASHRAE Great Energy Predictor III lessons learned.
CoRR, 2022

From model-centric to data-centric: a practical MPC implementation framework for buildings.
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

Green Mark Certified Buildings Metadata from Singapore: Dataset.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

ComfortLearn: enabling agent-based occupant-centric building controls.
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

Towards smartwatch-driven just-in-time adaptive interventions (JITAI) for building occupants.
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

Grey-Brick Buildings, an Open Data Set of Calibrated RC Models of Dutch Residential Building Heat Dynamics.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Trimming outliers using trees: winning solution of the large-scale energy anomaly detection (LEAD) competition.
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

2021
Review of machine learning techniques for mosquito control in urban environments.
Ecol. Informatics, 2021

Using Google Trends as a proxy for occupant behavior to predict building energy consumption.
CoRR, 2021

Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec.
CoRR, 2021

Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis.
CoRR, 2021

Longitudinal personal thermal comfort preference data in the wild.
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

Fifty shades of black: uncovering physical models from symbolic regressions for scalable building heat dynamics identification.
Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021

Operational characteristics of residential air conditioners with temporally granular remote thermographic imaging.
Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021

2020
The ASHRAE Great Energy Predictor III competition: Overview and results.
CoRR, 2020

Humans-as-a-sensor for buildings: Intensive longitudinal indoor comfort models.
CoRR, 2020

Build2Vec: Building Representation in Vector Space.
CoRR, 2020

Spacematch: Using environmental preferences to match occupants to suitable activity-based workspaces.
CoRR, 2020

Balancing thermal comfort datasets: We GAN, but should we?
Proceedings of the BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, 2020

2019
More Buildings Make More Generalizable Models - Benchmarking Prediction Methods on Open Electrical Meter Data.
Mach. Learn. Knowl. Extr., 2019

EnergyStar++: Towards more accurate and explanatory building energy benchmarking.
CoRR, 2019

Towards Class-Balancing Human Comfort Datasets with GANs.
Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019

2017
Predicting success of energy savings interventions and industry type using smart meter and retrofit data from thousands of non-residential buildings.
Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments, 2017

2015
Forensically discovering simulation feedback knowledge from a campus energy information system.
Proceedings of the Symposium on Simulation for Architecture & Urban Design, 2015


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