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Data-driven Urban Energy Simulation (DUE-S): A framework for integrating engineering simulation and machine learning methods in a multi-scale urban energy modeling workflow

Applied energy, 2018-09, Vol.225, p.1176-1189

2018

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DUE-B: Data-driven urban energy benchmarking of buildings using recursive partitioning and stochastic frontier analysis

Energy and buildings, 2018-03, Vol.163, p.58-69

2018

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Energy modeling of urban informal settlement redevelopment: Exploring design parameters for optimal thermal comfort in Dharavi, Mumbai, India

Applied energy, 2018-12, Vol.231, p.433-445

2018

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Forecasting energy consumption of multi-family residential buildings using support vector regression: Investigating the impact of temporal and spatial monitoring granularity on performance accuracy

Applied energy, 2014-06, Vol.123, p.168-178

2014

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Design and investment strategy optimization of district cooling system during the ramp-up phase

Energy and buildings, 2024-10, Vol.321, p.114603, Article 114603

2024

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Understanding the adoption and usage of data analytics and simulation among building energy management professionals: A nationwide survey

Building and environment, 2019-06, Vol.157, p.139-164

2019

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Examining the feasibility of using open data to benchmark building energy usage in cities: A data science and policy perspective

Energy policy, 2020-04, Vol.139, p.111327, Article 111327

2020

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Investigating the impact eco-feedback information representation has on building occupant energy consumption behavior and savings

Energy and buildings, 2013-09, Vol.64, p.408-414

2013

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Data-driven optimization of building layouts for energy efficiency

Energy and buildings, 2021-05, Vol.238, p.110815, Article 110815

2021

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Assessing eco-feedback interface usage and design to drive energy efficiency in buildings

Energy and buildings, 2012-05, Vol.48, p.8-17

2012

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Data-Driven, Multi-metric, and Time-Varying (DMT) Building Energy Benchmarking Using Smart Meter Data

Advanced Computing Strategies for Engineering, p.568-593

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Simulation-aided occupant-centric building design: A critical review of tools, methods, and applications

Energy and buildings, 2020-10, Vol.224, p.110292, Article 110292

2020

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Automated identification of urban substructure for comparative analysis

PloS one, 2021-01, Vol.16 (1), p.e0245067-e0245067

2021

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A review of occupant energy feedback research: Opportunities for methodological fusion at the intersection of experimentation, analytics, surveys and simulation

Applied energy, 2018-05, Vol.218 (C), p.304-316

2018

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Can social influence drive energy savings? Detecting the impact of social influence on the energy consumption behavior of networked users exposed to normative eco-feedback

Energy and buildings, 2013-11, Vol.66, p.119-127

2013

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

Applied energy, 2020-12, Vol.280, p.115981, Article 115981

2020

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Natural ventilation versus air pollution: assessing the impact of outdoor pollution on natural ventilation potential in informal settlements in India

Environmental research, infrastructure and sustainability : ERIS, 2023-06, Vol.3 (2), p.25002

2023

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Block Configuration Modeling: A novel simulation model to emulate building occupant peer networks and their impact on building energy consumption

Applied energy, 2013-05, Vol.105, p.358-368

2013

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Understanding building occupant activities at scale: An integrated knowledge-based and data-driven approach

Advanced engineering informatics, 2018-08, Vol.37, p.1-13

2018

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DUE-A: Data-driven Urban Energy Analytics for understanding relationships between building energy use and urban systems

Energy procedia, 2019-01, Vol.158, p.6478-6483

2019

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Data-driven Urban Energy Simulation (DUE-S): Integrating machine learning into an urban building energy simulation workflow

Energy procedia, 2017-01, Vol.142, p.2114-2119

2017

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Learning socio-organizational network structure in buildings with ambient sensing data

Data-Centric Engineering (Online), 2020-01, Vol.1, Article e9

2020

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Quantifying the pedestrian access potential of suburban street network retrofits

Environment and planning. B, Urban analytics and city science, 2024-03, Vol.51 (3), p.656-669

2024

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A Global Building Occupant Behavior Database

Scientific data, 2022-06, Vol.9 (1), p.369-369, Article 369

2022

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A barrier too far: Understanding the role of intersection crossing distance on bicycle rider behavior in Chicago

Environment and planning. B, Urban analytics and city science, 2023-10, Vol.50 (8), p.2118-2132

2023

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Data-driven Urban Energy Simulation (DUE-S): A framework for integrating engineering simulation and machine learning methods in a multi-scale urban energy modeling workflow

DUE-B: Data-driven urban energy benchmarking of buildings using recursive partitioning and stochastic frontier analysis

Energy modeling of urban informal settlement redevelopment: Exploring design parameters for optimal thermal comfort in Dharavi, Mumbai, India

Forecasting energy consumption of multi-family residential buildings using support vector regression: Investigating the impact of temporal and spatial monitoring granularity on performance accuracy

Design and investment strategy optimization of district cooling system during the ramp-up phase

Understanding the adoption and usage of data analytics and simulation among building energy management professionals: A nationwide survey

Examining the feasibility of using open data to benchmark building energy usage in cities: A data science and policy perspective

Investigating the impact eco-feedback information representation has on building occupant energy consumption behavior and savings

Data-driven optimization of building layouts for energy efficiency

Assessing eco-feedback interface usage and design to drive energy efficiency in buildings

Data-Driven, Multi-metric, and Time-Varying (DMT) Building Energy Benchmarking Using Smart Meter Data

Simulation-aided occupant-centric building design: A critical review of tools, methods, and applications

Automated identification of urban substructure for comparative analysis

A review of occupant energy feedback research: Opportunities for methodological fusion at the intersection of experimentation, analytics, surveys and simulation

Can social influence drive energy savings? Detecting the impact of social influence on the energy consumption behavior of networked users exposed to normative eco-feedback

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

Natural ventilation versus air pollution: assessing the impact of outdoor pollution on natural ventilation potential in informal settlements in India

Block Configuration Modeling: A novel simulation model to emulate building occupant peer networks and their impact on building energy consumption

Understanding building occupant activities at scale: An integrated knowledge-based and data-driven approach

DUE-A: Data-driven Urban Energy Analytics for understanding relationships between building energy use and urban systems

Data-driven Urban Energy Simulation (DUE-S): Integrating machine learning into an urban building energy simulation workflow

Learning socio-organizational network structure in buildings with ambient sensing data

Quantifying the pedestrian access potential of suburban street network retrofits

A Global Building Occupant Behavior Database

A barrier too far: Understanding the role of intersection crossing distance on bicycle rider behavior in Chicago

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