Conference Program

Wednesday, November 15, 2023 (8:00 AM - 6:00 PM TRT)

Registration
8:00 AM - 8:30 AM

SenSys and BuildSys Joint Keynote
Session Chair: Zoltan Nagy
8:30 AM - 9:30 AM

• Wattics & BuildSys: A Tale of Innovation, Struggle, and Perseverance
  Antonio Ruzelli (EnergyCap - SmartAnalytics)

Short Break
9:30 AM - 9:45 AM

BuildSys Opening and Poster/Demo 1 Minute Madness
Session Chair: Zoltan Nagy and Matias Quintana
9:45 AM - 10:30 AM

Coffee Break
10:30 AM - 11:00 AM

Poster/Demo Session (In-Person & Virtual)
11:00 AM - 12:30 PM

• In-Person A Trajectory Estimation Method from Spatially Sparse and Noisy Beacon Data Based on Spring Dynamics
  Junya Maruyama (The University of Tokyo), Yudai Honma (The University of Tokyo), Yuuki Nishiyama (The University of Tokyo), Yoshihiro Kawahara (The University of Tokyo)
• Best In-Person Poster Award In-Person Action Masking for Safer Model-Free Building Energy Management
  Sharath Ram Kumar (Univ. Grenoble Alpes, CNRS, Grenoble INP, G2Elab, Grenoble, France), Benoit Delinchant (Univ. Grenoble Alpes, CNRS, Grenoble INP, G2Elab, Grenoble, France), Remy Rigo-Mariani (Univ. Grenoble Alpes, CNRS, Grenoble INP, G2Elab, Grenoble, France), Arvind Easwaran (Nanyang Technological University, Singapore)
• In-Person ArchiGuesser - Teaching Architecture Styles using Generative AI
  Markus Berger (AI for Sustainable Construction, University of Rostock), Joern Ploennigs (AI for Sustainable Construction, University of Rostock)
• In-Person CYDRES: CYber Defense and REsilient System for securing grid-interactive efficient buildings
  Guowen Li (Texas A&M University), Zheng O'Neill (Texas A&M University), Jin Wen (Drexel University), Ojas Pradhan (Drexel University), Lingyu Ren (Raytheon Technologies Research), Teresa Wu (Arizona State University), Veronica Adetola (Pacific Northwest National Lab), K. Selcuk Candan (Arizona State University), Qi Zhu (Northwestern University)
• In-Person Characterizing Crowd Preferences on Stadium Facilities through Dynamic Inverse Reinforcement Learning
  Yiwen Dong (Stanford University), Peide Huang (Carnegie Mellon University), Hae Young Noh (Stanford University)
• In-Person CityLearn v2: An OpenAI Gym environment for demand response control benchmarking in grid-interactive communities
  Kingsley Nweye (The University of Texas at Austin), Kathryn Kaspar (Concordia University), Giacomo Buscemi (Politecnico di Torino), Giuseppe Pinto (Politecnico di Torino), Han Li (Lawrence Berkeley National Laboratory), Tianzhen Hong (Lawrence Berkeley National Laboratory), Mohamed Ouf (Concordia University), Alfonso Capozzoli (Politecnico di Torino), Zoltan Nagy (The University of Texas at Austin)
• In-Person Collaborative Resource Allocation for Affected Los Angeles Regions Leveraging Mobile Energy Storages
  Abdolah Loni (PhD student, Dept. of Architectural Engineering Pennsylvania State University University Park, Pennsylvania, USA), Somayeh Asadi (Associate Professor, Dept. of Architectural Engineering Pennsylvania State University University Park, Pennsylvania, USA)
• In-Person Comfort-aware HVAC Aggregation Method based on Deep Reinforcement Learning
  Shotaro Nonaka (Osaka University), Ittetsu Taniguchi (Osaka University), Hiroki Nishikawa (Osaka University), Dafang Zhao (Osaka University), Francky Catthoor (IMEC, Katholieke Universiteit Leuven), Takao Onoye (Osaka University)
• In-Person Demo Abstract: Debugging Buildings with Mixed Reality
  Xiaohan Fu (UC San Diego), John Pedraz (Carnegie Mellon University), Anthony Rowe (Carnegie Mellon University), Rajesh Gupta (UC San Diego)
• In-Person Dynamic Bayesian Networks for Fault Prognosis
  Ojas Pradhan (Drexel University), Jin Wen (Drexel University), Mengyuan Chu (Texas A&M University), Zheng O'Neill (Texas A&M University)
• In-Person From Personal Comfort to District Performance: Using Smartwatch and WiFi Data for Occupant-Driven Operation
  Martín Mosteiro-Romero (National University of Singapore/Singapore–ETH Centre), Matias Quintana (Singapore-ETH Centre, Future Cities Lab Global), Clayton Miller (National University of Singapore), Rudi Stouffs (National University of Singapore)
• In-Person Introducing the Cool, Quiet City Competition: Predicting Smartwatch-Reported Heat and Noise with Digital Twin Metrics
  Clayton Miller (National University of Singapore), Matias Quintana (Singapore-ETH Centre), Mario Frei (National University of Singapore), Yun Xuan Chua (National University of Singapore), Chun Fu (National University of Singapore), Bianca Picchetti (National University of Singapore), Winston Yap (National University of Singapore), Adrian Chong (National University of Singapore), Filip Biljecki (National University of Singapore)
• In-Person On the Creation of a Hybrid Dataset to Predict Window States
  Jeremy Wong (University of British Columbia), Adam Rysanek (University of British Columbia)
• In-Person Physics-informed model-based reinforcement learning (PI-MBRL) to control building heating systems in low training data regimes
  Muhammad Hafeez Saeed (KU Leuven), Hussain Kazmi (KU Leuven), Geert Deconinck (KU Leuven)
• In-Person RNN-based Non-Intrusive Thermal Load Disaggregation and Forecasting for HVAC Systems
  Naoya Kaneko (Osaka University), Kazuki Okazawa (Osaka University), Dafang Zhao (Osaka University), Hiroki Nishikawa (Osaka University), Ittetsu Taniguchi (Osaka University), Takao Onoye (Osaka University)
• In-Person Accepted Notes Paper SCALEX: SCALability EXploration of Multi-Agent Reinforcement Learning Agents in Grid-Interactive Efficient Buildings
  Yara Almilaify (The University of Texas at Austin), Kingsley Nweye (The University of Texas at Austin), Zoltan Nagy (The University of Texas at Austin)
• In-Person Thermal Preference Prediction with Machine Learning
  Julianah Odeyemi (Einstein Center Digital Future (ECDF), Technische Universität Berlin), Rita Streblow (Einstein Center Digital Future (ECDF), Technische Universität Berlin)
• In-Person Toward Trustworthy Machine Learning Models for Fault Detection in Energy Systems
  Martin Rätz (RWTH Aachen University, E.ON Energy Research Center, Institute for Energy Efficient Buildings and Indoor Climate), Patrick Henkel (RWTH Aachen University, E.ON Energy Research Center, Institute for Energy Efficient Buildings and Indoor Climate), Phillip Stoffel (RWTH Aachen University, E.ON Energy Research Center, Institute for Energy Efficient Buildings and Indoor Climate), Rita Streblow (RWTH Aachen University, E.ON Energy Research Center, Institute for Energy Efficient Buildings and Indoor Climate), Dirk Müller (RWTH Aachen University, E.ON Energy Research Center, Institute for Energy Efficient Buildings and Indoor Climate)
• In-Person Towards a Benchmark for ML-based Building Load Forecasting Model Selection for a Target Building
  Yang Deng (The Hong Kong Polytechnic University), Rui Liang (The Hong Kong Polytechnic University), Jiaqi Fan (The Hong Kong Polytechnic University), Ao Li (The Hong Kong Polytechnic University), Dan Wang (The Hong Kong Polytechnic University)
• Virtual A Comparison of Different Deep Learning Model Architectures and Training Strategy for Urban Energy Modeling
  Ting-Yu Dai (The University of Texas at Austin), Ayegül Demir Dilsiz (University of Wyoming), Dev Niyogi (The University of Texas at Austin), Zoltan Nagy (The University of Texas at Austin)
• Virtual Application of the Reconfigurable Environmental Intelligence Platform for HVAC Control
  Yurii Piadyk (New York University), Joao Rulff (New York University), Ethan Brewer (New York University), Semiha Ergan (New York University), Claudio Silva (New York University)
• Virtual Development of control system for VRF indoor units responds to individual thermal preferences
  Keiichiro TANIGUCHI (The University of Tokyo), Yosuke KAMIYA (The University of Tokyo), Daisuke SATO (Daikin Industries, Ltd.), Takashi NISHIMOTO (Daikin Industries, Ltd.), Ruizi ZHANG (Daikin Industries, Ltd.), Shohei MIYATA (The University of Tokyo), Hiroaki MURAKAMI (The University of Tokyo), Nobuki MATSUI (Daikin Industries, Ltd.), Yasunori AKASHI (The University of Tokyo), Yoshihiro KAWAHARA (The University of Tokyo)
• Best Virtual Poster Award Virtual Heterogeneous Multi-Agent Reinforcement Learning for Grid-Interactive Communities
  Allen Wu (The University of Texas at Austin), Kingsley Nweye (The University of Texas at Austin), Zoltan Nagy (The University of Texas at Austin)
• Virtual Integrated Personalized Thermal Comfort Model for Input Variable Reduction
  Chuangkang YANG (The University of Tokyo), Keiichiro TANIGUCHI (The University of Tokyo), Shohei MIYATA (The University of Tokyo), Yasunori AKASHI (The University of Tokyo)
• Virtual Service Class Based Management Framework of Photovoltaic Self-Consumption for Existing Residential Buildings
  Marco Caccamo (Technical University of Munich), Daniele Bernardini (Technical University of Munich)
• Virtual Thermal discomfort prediction with sparse residential thermostat dataset
  Hannah Fontenot (Fraunhofer USA Center for Manufacturing Innovation), Michael Zeifman (Fraunhofer USA Center for Manufacturing Innovation), Kurt Roth (Fraunhofer USA Center for Manufacturing Innovation)
• Virtual UTwin: A digital twin of the UT Austin campus
  Calvin Lin (The University of Texas at Austin), Ting-Yu Dai (The University of Texas at Austin), Aysegul Demir Dilsiz (University of Wyoming), Dru Crawley (Bentley Systems), Dev Niyogi (The University of Texas at Austin), Zoltan Nagy (The University of Texas at Austin)

Lunch
12:30 PM - 2:00 PM

Technical Session 1: Occupants and Sensing
Session Chair: Clayton Miller
2:00 PM - 3:15 PM

• FTM-Sense: Robust Sensor-free Occupancy Sensing Leveraging WiFi Fine Time Measurement (FTM)
  Fateme Nikseresht (University of Virginia), Brad Campbell (University of Virginia)
• GameVibes: Vibration-based Crowd Monitoring for Sports Games through Audience-Game-Facility Association Modeling
  Yiwen Dong (Stanford University), Yuyan Wu (Stanford University), Jesse R Codling (University of Michigan), Jatin Aggarwal (Stanford University), Peide Huang (Carnegie Mellon University), Wenhao Ding (Carnegie Mellon University), Pei Zhang (University of Michigan), Hae Young Noh (Stanford University)
• Overcoming Data Scarcity through Transfer Learning in CO2-Based Building Occupancy Detection
  Manuel Weber (Munich University of Applied Sciences (HM)), Farzan Banihashemi (Technical University of Munich (TUM)), Peter Mandl (Munich University of Applied Sciences (HM)), Hans-Arno Jacobsen (University of Toronto), Ruben Mayer (University of Bayreuth)
• TODOS: Thermal sensOr Data-driven Occupancy Estimation System for Smart Buildings
  Hamid Rajabi (University of California, Merced), Xianzhong Ding (University of California, Merced), Wan Du (University of California, Merced), Alberto Cerpa (University of California, Merced)
• Unmasking the Thermal Behavior of Single-Zone Multi-Room Houses: An Empirical Study
  Ozan Baris Mulayim (Carnegie Mellon University), Mario Berges (Carnegie Mellon University / Amazon)
• Disaggregation of Heat Pump Load Profiles From Low-Resolution Smart Meter Data
  Tobias Brudermueller (ETH Zurich), Fabian Breer (RWTH Aachen University), Thorsten Staake (ETH Zurich, University of Bamberg)
• Utilizing Language Models for Energy Load Forecasting
  Hao Xue (University of New South Wales), Flora Salim (University of New South Wales)

Coffee Break
3:15 PM - 3:45 PM

Technical Session 2: Reinforcement and Agent-based Controls
Session Chair: Andrew Sonta
3:45 PM - 5:00 PM

• Best Paper Award: 2nd Runner-Up Best Paper Award Nominee CLUE: Safe Model-Based RL HVAC Control Using Epistemic Uncertainty Estimation
  Zhiyu An (University of California, Merced), Xianzhong Ding (University of California, Merced), Arya Rathee (University of California, Merced), Wan Du (University of California, Merced)
• Personalized Federated Hypernetworks for Privacy Preservation in Multi-Task Reinforcement Learning
  Doseok Jang (UC Berkeley), Lucas Spangher (UC Berkeley), Larry Yan (UC Berkeley), Costas Spanos (UC Berkeley), Tarang Srivastava (UC Berkeley)
• Best Paper Award: Winner Best Paper Award Nominee RECA: A Multi-Task Deep Reinforcement Learning-Based Recommender System for Co-Optimizing Energy, Comfort and Air Quality in Commercial Buildings
  Stephen Xia (Columbia University), Peter Wei (Columbia University), Yanchen Liu (Columbia University), Andrew Sonta (Columbia University), Xiaofan Jiang (Columbia University)
• Sense as you go: A context-aware adaptive sensing framework for on-road driver profiling
  Ananya Mondal (Indian Institute of Technology Jodhpur), Martin Kaushal (Thapar Institute of Engineering and Technology Patiala, Punjab), Suchetana Chakraborty (Indian Institute of Technology Jodhpur)
• TUNEOPT: An Evolutionary Reinforcement Learning HVAC System Controller For Tuning Energy-Comfort Optimization Formulations
  Mostafa Meimand (Virginia Tech), Vanshaj Khattar (Virginia Tech), Zahra Yazdani (Georgia Tech), Farrokh Jazizadeh (Virginia Tech), Ming Jin (Virginia Tech)
• SCALEX: SCALability EXploration of Multi-Agent Reinforcement Learning Agents in Grid-Interactive Efficient Buildings
  Yara Almilaify (The University of Texas at Austin), Kingsley Nweye (The University of Texas at Austin), Zoltan Nagy (The University of Texas at Austin)
• PyDCM: Custom Data Center Models with Reinforcement Learning for Sustainability
  Avisek Naug (Hewlett Packard Enterprise), Antonio Guillen (Hewlett Packard Enterprise), Ricardo Luna Gutiérrez (Hewlett Packard Enterprise), Vineet Gundecha (Hewlett Packard Enterprise), Sahand Ghorbanpour (Hewlett Packard Enterprise), Lekhapriya Dheeraj Kashyap (Hewlett Packard Enterprise), Dejan Markovikj (Hewlett Packard Enterprise), Lorenz Krause (Hewlett Packard Enterprise), Sajad Mousavi (Hewlett Packard Enterprise), Ashwin Ramesh Babu (Hewlett Packard Enterprise), Soumyendu Sarkar (Hewlett Packard Enterprise)

Business Meeting
5:00 PM - 6:00 PM

BuildSys Dinner
6:00 PM+

Thursday, November 16, 2023 (8:00 AM - 5:30 PM TRT)

Registration
8:00 AM - 8:30 AM

BuildSys Keynote
Session Chair: Zoltan Nagy
8:30 AM - 9:30 AM

• Structures as Sensors: From trains, to people, to pigs
  Hae Young Noh (Stanford University)

Short Break
9:30 AM - 9:45 AM

Technical Session 3: Building Systems and Components
Session Chair: Burak Gunay
9:45 AM - 10:45 AM

• RoboAuditor: Goal-Oriented Robotic System for Assessing Energy-intensive Indoor Appliance via Visual Language Models
  Weijia Cai (The University of British Columbia), Lei Huang (The University of British Columbia), Zhengbo Zou (The University of British Columbia)
• Decomposition-based Data Augmentation for Time-series Building Load Data
  Yang Deng (The Hong Kong Polytechnic University), Rui Liang (The Hong Kong Polytechnic University), Dan Wang (The Hong Kong Polytechnic University), Ao Li (The Hong Kong Polytechnic University), Fu Xiao (The Hong Kong Polytechnic University)
• PAMLR: A Passive-Active Multi-Arm Bandit-Based Solution for LoRa Channel Allocation
  Jihoon Yun (The Ohio State University), Chengzhang Li (The Ohio State University), Anish Arora (The Ohio State University)
• Modeling of Annual and Daily Electricity Demand of Retrofitted Heat Pumps based on Gas Smart Meter Data
  Daniel Bayer (University of Wuerzburg), Marco Pruckner (University of Wuerzburg)
• From Waste to Watts: A Self-Sustaining Water Heating System Powered by a Thermoelectric Generator
  Hassan Habib Chaudhry (LUMS), Ramish Majeed Raja (LUMS), Muhammad Hamad Alizai (LUMS), Nauman Zaffar (LUMS), Naveed Anwar Bhatti (LUMS)
• ChatTwin: Automating Digital Twin Construction for Data Center via Large Language Models
  Minghao Li (Nanyang Technological University), Ruihang Wang (Nanyang Technological University), Xin Zhou (Jiangxi Science and Technology Normal University), Zhaomeng Zhu (Nanyang Technological University), Rui Tan (Nanyang Technological University), Yonggang Wen (Nanyang Technological University)

Coffee Break
10:45 AM - 11:15 AM

Technical Session 4: Simulation, Estimation, and Open Data
Session Chair: Seungjae Lee
11:15 AM - 12:15 PM

• A Novel Graph Neural Network for Zone-Level Urban-scale Building Energy Estimation
  Eren Gökberk Halaçlı (ODTÜ-GÜNAM), İlkim Canlı (ODTÜ-GÜNAM), Orçun Koral İşeri (METU), Feyza Yavuz (METU), Çağla Meral Akgül (METU), Sinan Kalkan (METU), İpek Gürsel Dino (METU)
• An automated data-driven platform for buildings simulation
  Vahid Aryai (The Commonwealth Scientific and Industrial Research Organisation), Nariman Mahdavi (The Commonwealth Scientific and Industrial Research Organisation), Sam West (The Commonwealth Scientific and Industrial Research Organisation), Gregor Henze (University of Colorado, Boulder)
• Reasoning about Physical Processes in Buildings through Component Stereotypes
  Ganesh Ramanathan (Siemens AG), Simon Mayer (University of St.Gallen, Institute of Computer Science)
• An Energy Consumption Dataset for Ductless-split Cooling Systems to Train Large Models
  Keshav Kaushik (BITS Pilani), Vinayak Naik (BITS Pilani, Goa)
• BEAR-Data: Analysis and Applications of an Open Multizone Building Dataset
  Yuexin Bian (University of California, San Diego), Xiaohan Fu (University of California, San Diego), Bo Liu (University of California, San Diego), Rohith Rachala (University of California, San Diego), Rajesh K. Gupta (University of California, San Diego), Yuanyuan Shi (University of California, San Diego)

Lunch
12:15 PM - 1:15 PM

Past, Present and Future of BuildSys Panel
Session Chair: Mario Berges
1:15 PM - 2:15 PM

Short Break
2:15 PM - 2:30 PM

Technical Session 5: Urban-scale Technologies
Session Chair: Katherine Flanigan
2:30 PM - 3:30 PM

• Best Paper Award: 1st Runner-Up Best Paper Award Nominee Taking the Long View: Enhancing Learning On Multi-Temporal, High-Resolution, and Disparate Remote Sensing Data
  Santiago Correa (University of Massachusetts Amherst), Gustavo Perez (University of Massachusetts Amherst), Paulina Jaramillo (Carnegie Mellon University), Jay Taneja (University of Massachusetts Amherst)
• Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning
  Arian Prabowo (University of New South Wales), Kaixuan Chen (University of New South Wales), Hao Xue (University of New South Wales), Subbu Sethuvenkatraman (CSIRO), Flora D. Salim (University of New South Wales)
• STEP: Semantics-Aware Sensor Placement for Monitoring Community-Scale Infrastructure
  Andrew Chio (University of California, Irvine, USA), Jian Peng (Orange County Public Works), Nalini Venkatasubramanian (University of California, Irvine, USA)
• Classifying building energy efficiency from street view and aerial images in Denmark
  Kevin Mayer (Stanford University), Gregor Heilborn (Stanford University), Martin Fischer (Stanford University)
• Design of Tree-Mimicking Solar Photovoltaic System Achieving Both Power Generation and Acceptability
  Akari Shimono (The University of Tokyo), Yoshihiro Kawahara (The University of Tokyo)

Coffee Break
3:30 PM - 4:00 PM

Technical Session 6: Toolkits, Ontologies and Systems
Session Chair: Dan Wang
4:00 PM - 5:00 PM

• Best Paper Award Nominee FSBrick: An information model for representing fault-symptom relationships in HVAC systems
  Min Young Hwang (Carnegie Mellon University), Burcu Akinci (Carnegie Mellon University), Mario Berges (Carnegie Mellon University)
• SeeQ: A Programming Model for Portable Data-Driven Building Applications
  Dimitris Mavrokapnidis (University College London), Gabe Fierro (Colorado School of Mines), Maria Husmann (Siemens AG), Dimitrios Rovas (University College London), Ivan Korolija (University College London)
• Challenges in Cyber-Physical Attack Detection for Building Automation Systems
  Isabel Runge (Carnegie Mellon University), Burcu Akinci (Carnegie Mellon University), Mario Bergés (Carnegie Mellon University)
• Ontology Integration for Building Systems and Energy Storage Systems
  Fang He (The Hong Kong Polytechnic University), Dan Wang (The Hong Kong Polytechnic University), Yaojie Sun (Fudan University)
• What's The Point: AutoEncoding Building Point Names
  Mahathir Almashor (CSIRO Energy), Mashud Rana (CSIRO Data61), John McCulloch (CSIRO Data61), Ashfaqur Rahman (CSIRO Data61), Subbu Sethuvenkatraman (CSIRO Energy)
• Best Paper Award Nominee An End-to-End Solution for Spatial Inference in Smart Buildings
  Mingzhe Wu (University of Virginia), Fan Yao (University of Virginia), Hongning Wang (University of Virginia)

Closing and Best Paper Award Presentation
Session Chair: Zoltan Nagy and Clayton Miller
5:00 PM - 5:30 PM