Clayton Miller

What is a Digital Twin anyway? Deriving the definition for the built environment from over 15,000 scientific publications

Revealing building operating carbon dynamics for multiple cities

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

Make yourself comfortable: Nudging urban heat and noise mitigation with smartwatch-based Just-in-time Adaptive Interventions (JITAI)

Mitigating operational greenhouse gas emissions in ageing residential buildings using an Urban Digital Twin dashboard

Creating synthetic energy meter data using conditional diffusion and building metadata

A dataset exploring urban comfort through novel wearables and environmental surveys

Towards Human-centric Digital Twins: Leveraging Computer Vision and Graph Models to Predict Outdoor Comfort

Ten questions concerning occupant-centric control and operations

Ten questions concerning data-driven modelling and forecasting of operational energy demand at building and urban scale

A review and reflection on open datasets of city-level building energy use and their applications

A hybrid active learning framework for personal thermal comfort models

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

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

Experimental evaluation of thermal adaptation and transient thermal comfort in a tropical mixed-mode ventilation context

Infrared thermography in the built environment: A multi-scale review

The ASHRAE Great Energy Predictor III competition: Overview and results

Personal comfort models based on a 6‐month experiment using environmental parameters and data from wearables

BEEM: Data-driven building energy benchmarking for Singapore

Cohort comfort models — Using occupant’s similarity to predict personal thermal preference with less data

Fifty shades of grey: Automated stochastic model identification of building heat dynamics

Energy balances, thermal performance, and heat stress: Disentangling occupant behaviour and weather influences in a Dutch net-zero energy neighborhood

Review of machine learning techniques for mosquito control in urban environments

Data science for building energy efficiency: A comprehensive text-mining driven review of scientific literature

Introducing IEA EBC annex 79: Key challenges and opportunities in the field of occupant-centric building design and operation

EnergyStar++: Towards more accurate and explanatory building energy benchmarking

Humans-as-a-Sensor for Buildings—Intensive Longitudinal Indoor Comfort Models

SynCity: Using open data to create a synthetic city of hourly building energy estimates by integrating data-driven and physics-based methods

Project Coolbit: can your watch predict heat stress and thermal comfort sensation?

Apples or oranges? Identification of fundamental load shape profiles for benchmarking buildings using a large and diverse dataset