All Stories

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