All Stories

  1. A review of research on multi-stakeholder approaches to sustainable built environments
  2. Coordination Architecture Shapes Continuous Demand Response Outcomes in Building Districts
  3. PhysioStat: Thermophysiological Indoor Climate Control for Human-Centric, Energy-Efficient Buildings
  4. Human-centric buildings for a changing climate: Introducing a new International Energy Agency research network
  5. Toward a foundational thermal model for residential buildings
  6. CityTFT: A Temporal Fusion Transformer-Based Twin Model for Urban Building Energy Modeling
  7. Building sustainability and performance through simulation
  8. Developing a weighting scheme for building operational performance: A case study from the Netherlands
  9. From comfort to survival: Indoor heat vulnerability during extreme events
  10. Enhancing grid flexibility through electric vehicles: The role of driver travel patterns
  11. Enhancing self-consumption ratio in a smart microgrid by applying a reinforcement learning-based energy management system
  12. A scalable demand-side energy management control strategy for large residential districts based on an attention-driven multi-agent DRL approach
  13. CityTFT: A temporal fusion transformer-based surrogate model for urban building energy modeling
  14. The CityLearn Challenge: Four Years of Advancing Common Task Frameworks for Energy Management in Smart Buildings
  15. EVLearn: extending the cityLearn framework with electric vehicle simulation
  16. Activity hours: Assessing liveability during heatwaves
  17. From Comfort to Survival: Indoor Heat Vulnerability During Extreme Events
  18. Strategies to Implement a Community-Based, Longitudinal Cohort Study: The Whole Communities-Whole Health Case Study
  19. Effects of occupant thermostat preferences and override behavior on residential demand response in CityLearn
  20. CityLearn v2: energy-flexible, resilient, occupant-centric, and carbon-aware management of grid-interactive communities
  21. Overview of occupant-centric KPIs for building performance and their value to various building stakeholders
  22. IMPACT pathways – a bottom-up modelling framework to guide sustainable growth and avoid carbon lock-in of cities
  23. Reinforcement Learning in Building Energy Management: Challenges and Future Directions
  24. Heatalyzer: A Tool for Evaluating Indoor Comfort in Buildings during Extreme Heat Events
  25. Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation
  26. A Data Fusion Approach to Generate High-Resolution Pm2.5 with Low-Cost Sensors and Satellite Observations
  27. Activity Hours: Assessing Liveability During Heatwaves
  28. Citytft: Temporal Fusion Transformer for Urban Building Energy Modeling
  29. Enhancing Self-Consumption Ratio in a Smart Microgrid by Applying a Reinforcement Learning-Based Energy Management System
  30. A repository of occupant-centric control case studies: Survey development and database overview
  31. SCALEX: SCALability EXploration of Multi-Agent Reinforcement Learning Agents in Grid-Interactive Efficient Buildings
  32. Heterogeneous Multi-Agent Reinforcement Learning for Grid-Interactive Communities
  33. A Comparison of Different Deep Learning Model Architectures and Training Strategy for Urban Energy Modeling
  34. CityLearn v2: An OpenAI Gym environment for demand response control benchmarking in grid-interactive communities
  35. UTwin: A digital twin of the UT Austin campus
  36. How good is the advice from ChatGPT for building science? Comparison of four scenarios
  37. IEA EBC Annex 81 – Data-driven smart buildings: Building-to-grid applications
  38. A framework for the design of representative neighborhoods for energy flexibility assessment in CityLearn
  39. Unsupervised estimation of residential electricity outages from aggregated meter data
  40. MERLIN: Multi-agent offline and transfer learning for occupant-centric operation of grid-interactive communities
  41. Ten questions concerning occupant-centric control and operations
  42. Data-driven key performance indicators and datasets for building energy flexibility: A review and perspectives
  43. How spatio-temporal resolution impacts urban energy calibration
  44. Ten questions concerning reinforcement learning for building energy management
  45. Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems
  46. Analyzing the impact of COVID-19 on the electricity demand in Austin, TX using an ensemble-model based counterfactual and 400,000 smart meters
  47. Design of Sequences of Operation for Occupant-Centric Controls
  48. Occupant-Centric Performance Metrics and Performance Targets
  49. Information fusion of stationary, mobile, and wearable consumer-grade sensors to confidently estimate bedroom ventilation rates
  50. Erratum to: Ranking parameters in urban energy models for various building forms and climates using sensitivity analysis
  51. Reinforcement Learning-Based Energy Management System for Optimal Distributed Energy Resources Control Policies in Smart Microgrids
  52. Ranking parameters in urban energy models for various building forms and climates using sensitivity analysis
  53. GridLearn: Multiagent reinforcement learning for grid-aware building energy management
  54. On the use of conditional TimeGAN to enhance the robustness of a reinforcement learning agent in the building domain
  55. ComfortLearn
  56. Real-world challenges for multi-agent reinforcement learning in grid-interactive buildings
  57. Evaluating machine learning models to classify occupants’ perceptions of their indoor environment and sleep quality from indoor air quality
  58. Design, fabrication, and calibration of the Building EnVironment and Occupancy (BEVO) Beacon: A rapidly-deployable and affordable indoor environmental quality monitor
  59. Offline training of multi-agent reinforcement agents for grid-interactive buildings control
  60. A Global Building Occupant Behavior Database
  61. Water Demand and Human Behavior during Compounding Disasters: The Case of Winter Storm Uri and the COVID-19 Pandemic
  62. MARTINI: Smart meter driven estimation of HVAC schedules and energy savings based on Wi-Fi sensing and clustering
  63. CROOD: Estimating crude building occupancy from mobile device connections without ground-truth calibration
  64. Data fusion of mobile and environmental sensing devices to understand the effect of the indoor environment on measured and self-reported sleep quality
  65. The second ACM SIGEnergy workshop on reinforcement learning for energy management in buildings & cities (RLEM)
  66. The citylearn challenge 2021
  67. Comparison of machine learning methods to predict sleep quality from daytime activity and nightly bedroom environmental conditions
  68. Human–Infrastructure Interactions during the COVID-19 Pandemic: Understanding Water and Electricity Demand Profiles at the Building Level
  69. Analysis of supplemental dehumidification for increased energy efficiency of shoulder seasons based on climate change predictions in Austin Texas
  70. Linking urban scenarios with energy simulations for dense urban planning under climate change
  71. Using generative adversarial networks to evaluate robustness of reinforcement learning agents against uncertainties
  72. Coordinated energy management for a cluster of buildings through deep reinforcement learning
  73. Multi-modal data collection for measuring health, behavior, and living environment of large-scale participant cohorts
  74. Building Energy Performance Assessment Using an Easily Deployable Sensor Kit: Process, Risks, and Lessons Learned
  75. HVAC Scheduling based on Wi-Fi derived Occupancy
  76. Ecologically Valid Multimodal Data Collection
  77. Impact of COVID-19 on Academic Campus Energy Use
  78. The CityLearn Challenge 2020
  79. Viability of a Dense, Low-Cost Particulate Matter Sensor Network
  80. MARLISA
  81. Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms on a Building Energy Demand Coordination Task
  82. The Building Data Genome Project 2, energy meter data from the ASHRAE Great Energy Predictor III competition
  83. The ASHRAE Great Energy Predictor III competition: Overview and results
  84. Introducing IEA EBC annex 79: Key challenges and opportunities in the field of occupant-centric building design and operation
  85. HVACLearn
  86. The good, the bad, and the ugly: Data-driven load profile discord identification in a large building portfolio
  87. Wireless sensor network for estimating building performance
  88. CityLearn v1.0
  89. Good to see you again
  90. Investigating occupancy profiles using convolutional neural networks
  91. A critical review of field implementations of occupant-centric building controls
  92. Deep neural networks as surrogate models for urban energy simulations
  93. Embodied versus operational energy in residential and commercial buildings: where should we focus?
  94. Multi-agent reinforcement learning for adaptive demand response in smart cities
  95. SCAFE: Automated simultaneous clustering and non-linear feature extraction of building energy profiles
  96. Urban densification and housing typology for climate change mitigation
  97. Publisher Correction: Dynamic photovoltaic building envelopes for adaptive energy and comfort management
  98. Dynamic photovoltaic building envelopes for adaptive energy and comfort management
  99. The Influence of Building Design, Sensor Placement, and Occupant Preferences on Occupant Centered Lighting Control
  100. Temperature-preference learning with neural networks for occupant-centric building indoor climate controls
  101. Apples or oranges? Identification of fundamental load shape profiles for benchmarking buildings using a large and diverse dataset
  102. Reinforcement learning for demand response: A review of algorithms and modeling techniques
  103. LightLearn: An adaptive and occupant centered controller for lighting based on reinforcement learning
  104. Artificial Neural Network‐Based Framework for Developing Ground‐Motion Models for Natural and Induced Earthquakes in Oklahoma, Kansas, and Texas
  105. Reinforcement learning for intelligent environments
  106. Optimal decarbonization pathways for urban residential building energy services
  107. Fusing TensorFlow with building energy simulation for intelligent energy management in smart cities
  108. Performative design environment for kinetic photovoltaic architecture
  109. Neural Network-Based Equations for Predicting PGA and PGV in Texas, Oklahoma, and Kansas
  110. Data on the interaction between thermal comfort and building control research
  111. Comprehensive analysis of the relationship between thermal comfort and building control research - A data-driven literature review
  112. Using machine learning techniques for occupancy-prediction-based cooling control in office buildings
  113. A review of unsupervised statistical learning and visual analytics techniques applied to performance analysis of non-residential buildings
  114. An easily-deployable wireless sensor network for building energy performance assessment
  115. Balancing comfort and energy consumption of a heat pump using batch reinforcement learning with fitted Q-iteration
  116. Occupancy learning-based demand-driven cooling control for office spaces
  117. Optimising building net energy demand with dynamic BIPV shading
  118. NEST HiLo: Investigating lightweight construction and adaptive energy systems
  119. Coupling energy systems with lightweight structures for a net plus energy building
  120. Methods for modelling and analysis of bendable photovoltaic modules on irregularly curved surfaces
  121. Occupant centered lighting control: A user study on balancing comfort, acceptance, and energy consumption
  122. Life cycle assessment of dynamic building integrated photovoltaics
  123. SoRo-Track: A two-axis soft robotic platform for solar tracking and building-integrated photovoltaic applications
  124. The Adaptive Solar Facade: From concept to prototypes
  125. Parametric analysis and systems design of dynamic photovoltaic shading modules
  126. Reinforcement learning for optimal control of low exergy buildings
  127. Spatial variability of soil carbon
  128. Occupant centered lighting control for comfort and energy efficient building operation
  129. Mechanical catalysis on the centimetre scale
  130. Automated daily pattern filtering of measured building performance data
  131. Balancing envelope and heating system parameters for zero emissions retrofit using building sensor data
  132. Soft Robotics for Architects: Integrating Soft Robotics Education in an Architectural Context
  133. Self-Organized Translational Wheeling Motion in Stochastic Self-Assembling Modules
  134. Modeling the Motion of Microrobots on Surfaces Using Nonsmooth Multibody Dynamics
  135. Adaptive Distributed Robotics for Environmental Performance, Occupant Comfort and Architectural Expression
  136. Lagrangian Modeling of the Magnetization and the Magnetic Torque on Assembled Soft-Magnetic MEMS Devices for Fast Computation and Analysis
  137. Sustainable architecture and human comfort through adaptive distributed systems
  138. Modeling and analysis of wireless resonant magnetic microactuators
  139. The Influence of Shape on Parallel Self-Assembly
  140. Morphology detection for magnetically self-assembled modular robots
  141. A microfabricated and microassembled wireless resonator
  142. Manufacturing of a Hybrid Acoustic Transmitter Using an Advanced Microassembly System
  143. A wireless acoustic emitter for passive localization in liquids
  144. Experimental investigation of magnetic self-assembly for swallowable modular robots
  145. Modeling assembled-MEMS microrobots for wireless magnetic control
  146. Design and calibration of a MEMS sensor for measuring the force and torque acting on a magnetic microrobot
  147. A multi-axis MEMS force-torque sensor for measuring the load on a microrobot actuated by magnetic fields
  148. Robotics in the Small, Part I: Microbotics
  149. The magnetic self-aligning hermaphroditic connector a scalable approach for modular microrobots
  150. Electric Energy Consumer Characterization, Classification and Demand Forecasting using Convolutional Neural Networks
  151. Simultaneous Feature Extraction and Non-linear Clustering of Building Energy Profiles Encoded as Images