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ORCID8th BuildSys@SenSys 2021: Coimbra, Portugal
- Xiaofan Fred Jiang, Omprakash Gnawali, Zoltán Nagy:
BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17 - 18, 2021. ACM 2021, ISBN 978-1-4503-9114-6
Main conference
- Shichao Xu, Yangyang Fu, Yixuan Wang
, Zheng O'Neill, Qi Zhu:
Learning-based framework for sensor fault-tolerant building HVAC control with model-assisted learning. 1-10 - Wenpeng Wang, Zetian Liu, Jiechao Gao, Nurani Saoda, Bradford Campbell:
UbiTrack: enabling scalable & low-cost device localization with onboard wifi. 11-20 - Praveen Manoharan, Malini Pooni Venkat, Srinarayana Nagarathinam, Arunchandar Vasan:
Learn to chill: intelligent chiller scheduling using meta-learning and deep reinforcement learning. 21-30 - Rachel Cardell-Oliver, Harrison Carter-Turner:
Activity-aware privacy protection for smart water meters. 31-40 - Srinivasan Iyengar, Ravi Raj Saxena, Joydeep Pal, Bhawana Chhaglani, Anurag Ghosh, Venkata N. Padmanabhan, Prabhakar T. Venkata:
Holistic energy awareness for intelligent drones. 41-50 - Joe Brown, Alessandro Abate, Alex Rogers:
QUILT: quantify, infer and label the thermal efficiency of heating and cooling residential homes. 51-60 - Anuradha Ravi, Kasun Galmath, Siyan Hu, Archan Misra:
CS-light: camera sensing based occupancy-aware robust smart building lighting control. 61-70 - Ashish Kashinath, Sibin Mohan, Akshay Nambi, Sumukh Marathe:
PIRMedic: physics-driven fault diagnosis for PIR sensors. 71-80 - Yoones Rezaei, Stephen Lee, Daniel Mossé:
Energy-efficient parking analytics system using deep reinforcement learning. 81-90 - Praveen Kumar Sharma, Prasenjit Karmakar, Soumyajit Chatterjee, Abhijit Roy, Santanu Mandal, Sandip Chakraborty, Subrata Nandi, Sujoy Saha:
Can I go for a roof walk today?: know your housing's air quality from a thermo-hygrometer. 91-100 - Hamim Md Adal, Colin Milhaupt, Jie Hua, Christine Julien, Gruia-Catalin Roman:
The space broker: a middleware for mediating interactions in smart IoT spaces. 101-110 - Thomas R. Dougherty, Tianyuan Huang, Yirong Chen, Rishee K. Jain, Ram Rajagopal:
SCHMEAR: scalable construction of holistic models for energy analysis from rooftops. 111-120 - Phuthipong Bovornkeeratiroj, John Wamburu, David E. Irwin, Prashant J. Shenoy:
VPeak: exploiting volunteer energy resources for flexible peak shaving. 121-130 - Doseok Jang, Lucas Spangher, Tarang Srivastava, Manan Khattar, Utkarsha Agwan, Selvaprabu Nadarajah, Costas J. Spanos:
Offline-online reinforcement learning for energy pricing in office demand response: lowering energy and data costs. 131-139 - Francesco Fraternali, Bharathan Balaji, Dezhi Hong, Yuvraj Agarwal, Rajesh K. Gupta:
Marble: collaborative scheduling of batteryless sensors with meta reinforcement learning. 140-149 - Imane Lahmam Bennani, Anand Krishnan Prakash, Marina Zafiris, Lazlo Paul, Carlos Duarte Roa, Paul Raftery, Marco Pritoni, Gabe Fierro:
Query relaxation for portable brick-based applications. 150-159 - Zhenyu Wang, Hao Wang:
Identifying the relationship between seasonal variation in residential load and socioeconomic characteristics. 160-163 - Andrew Villca-Rocha, Max Zheng, Chengzhu Duan, Hongning Wang:
Towards semantic search in building sensor data. 164-167 - Ziyun Wang, Hao Wang:
Improving load forecast in energy markets during COVID-19. 168-171 - Hetvi Shastri, Nipun Batra:
Neural network approaches and dataset parser for NILM toolkit. 172-175 - Elvin Vindel Pinto, Mario Bergés, Burcu Akinci, Olga Kavvada:
Demand flexibility potential model for multi-zone commercial buildings using internal HVAC system states. 176-179 - Jonas Van Gompel, Domenico Spina, Chris Develder:
Temporal convolutional networks for fault diagnosis of photovoltaic systems using satellite and inverter measurements. 180-183 - Pandarasamy Arjunan, Gregory Dobler, Kyungmin Lee, Clayton Miller, Filip Biljecki, Kameshwar Poolla:
Operational characteristics of residential air conditioners with temporally granular remote thermographic imaging. 184-187 - Victor-Alexandru Padurean, Andrei-Alexandru Cristea, Marcel Antal:
Heat reuse models for liquid cooled data centers integrated with district heating. 188-191 - Tzu-Yi Fan, Tun-Chi Tsai, Cheng-Hsin Hsu, Fangqi Liu, Nalini Venkatasubramanian:
WinSet: the first multi-modal window dataset for heterogeneous window states. 192-195 - Yue Zhou, Sid Chi-Kin Chau:
Sharing economy meets energy markets: group purchasing of energy plans in retail energy markets. 196-199 - Gang Wang, Shijia Pan, Susu Xu:
Decoupling the unfairness propagation chain in crowd sensing and learning systems for spatio-temporal urban monitoring. 200-203 - Nadine von Frankenberg, Vivian Loftness, Bernd Bruegge:
I want it that way: thermal desirability in shared spaces. 204-207
POSTER SESSION: Posters & demos
- Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Rajesh Gupta:
Marble: collaborative scheduling of batteryless sensors with meta reinforcement learning. 208-209 - Justas Brazauskas, Rohit Verma, Vadim Safronov, Matthew Danish, Ian Lewis, Richard Mortier:
Real-time data visualisation on the adaptive city platform. 210-211 - Yunchuan Shi, Wei Li, Xiaomin Chang, Albert Y. Zomaya:
User privacy leakages from federated learning in NILM applications. 212-213 - Suyun Lee, Sunjae Jung, Youngmi Baek:
Cyber-attack detection for automotive cyber-physical systems. 214-215 - Aparna Hariharan, June Young Park:
A flagged or spam?: social media driven public interactions for natural disaster response and recovery. 216-217 - Zoltán Nagy, José R. Vázquez-Canteli, Sourav Dey, Gregor Henze:
The citylearn challenge 2021. 218-219 - Doseok Jang, Lucas Spangher, Manan Khattar, Utkarsha Agwan, Selvaprabuh Nadarajah, Costas J. Spanos:
Offline-online reinforcement learning for generalizing demand response price-setting to energy systems. 220-221 - Hagen Fritz, Congyu Wu, Kerry A. Kinney, Zoltán Nagy:
Comparison of machine learning methods to predict sleep quality from daytime activity and nightly bedroom environmental conditions. 222-223 - Junyan Su, Minghua Chen, Haibo Zeng:
Energy efficient timely transportation: a comparative study of internal combustion trucks and electric trucks. 224-225 - Hanwei Zhu, Sid Chi-Kin Chau:
Integrating IoT-sensing and crowdsensing for privacy-preserving parking monitoring. 226-227 - Ganesh Ramanathan, Maria Husmann, Christoph Niedermeier, Norbert Vicari, Kimberly García, Simon Mayer:
Assisting automated fault detection and diagnostics in building automation through semantic description of functions and process data. 228-229 - Hari Prasanna Das, Stefano Schiavon, Costas J. Spanos:
Unsupervised personal thermal comfort prediction via adversarial domain adaptation. 230-231 - Daichi Watari, Ittetsu Taniguchi, Takao Onoye:
Improving duck curve by dynamic pricing and battery scheduling based on a deep reinforcement learning approach. 232-233 - Jan Schlichter, Roman Ficht, Lars C. Wolf:
Towards 3D indoor airflow monitoring based on differential pressure measurements. 234-235 - Tong Wu, Murtadha Aldeer, Tahiya Chowdhury, Amber Haynes, Fateme Nikseresht, Mahsa Pahlavikhah Varnosfaderani, Jiechao Gao, Arsalan Heydarian, Brad Campbell, Jorge Ortiz:
The smart building privacy challenge. 238-239 - Nuno Velosa, Lucas Pereira:
Towards pro-social load balancing in energy communities. 240-241
Ph.D. forum
- Matias Quintana:
Cohort-based personal comfort models for HVAC occupant-centric control. 242-243 - Lucas Spangher:
Transactive multi-agent reinforcement learning for distributed energy price localization. 244-245 - Ganesh Ramanathan:
Autonomous buildings. 246-247 - Xin Yang:
Towards utility-aware privacy-preserving sensor data anonymization in distributed IoT. 248-249 - Xiang Pan:
DeepOPF: deep neural networks for optimal power flow. 250-251
WORKSHOP SESSION: Workshop - FATESys'21
- Milan Jain, Pandarasamy Arjunan:
FATEsys 2021: the first ACM SIGEnergy workshop on fair, accountable, transparent, and ethical (FATE) AI for smart environments and energy systems. 252-254 - Wei Zhang, Fang Liu, Yonggang Wen, Bernard Nee:
Toward explainable and interpretable building energy modelling: an explainable artificial intelligence approach. 255-258 - John Wamburu, Emma Grazier, David E. Irwin, Christine Crago, Prashant J. Shenoy:
Towards equity in energy efficiency analyses. 259-263 - Hiroki Yoshikawa, Akira Uchiyama, Teruo Higashino:
Data balancing for thermal comfort datasets using conditional wasserstein GAN with a weighted loss function. 264-267 - David Murray, Lina Stankovic, Vladimir Stankovic:
Transparent AI: explainability of deep learning based load disaggregation. 268-271 - Hussain Syed Kazmi, Pieterjan Vaneerdewegh, Johan Driesen:
Estimating residential energy flexibility potential through forced activations. 272-275 - Yangyang Fu, Shichao Xu, Qi Zhu, Zheng O'Neill:
Containerized framework for building control performance comparisons: model predictive control vs deep reinforcement learning control. 276-280 - Spoorthy Paresh, Naveen Kumar Thokala, Vishnu Brindavanam, M. Girish Chandra:
A representational learning assisted matrix factorization approach for electrical load disaggregation. 281-285 - Sarah Crosby, Adam Rysanek:
Towards improved thermal comfort predictions for building controls: hierarchical bayesian modelling of indoor environmental design conditions. 286-289 - Poorvesh Dongre, Asma Aldrees, Denis Gracanin:
Clustering appliance energy consumption data for occupant energy-behavior modeling. 290-293 - Iori Mizutani, Ganesh Ramanathan, Simon Mayer:
Semantic data integration with DevOps to support engineering process of intelligent building automation systems. 294-297 - Martin Damyanov Aleksandrov:
Intelligent household waste collection. 298-301 - Tahiya Chowdhury, Qizhen Ding, Ilan Mandel, Wendy Ju, Jorge Ortiz:
Tracking urban heartbeat and policy compliance through vision and language-based sensing. 302-306
WORKSHOP SESSION: Workshop - RLEM'21
- Zoltán Nagy, June Young Park, Ján Drgona, Matias Quintana:
The second ACM SIGEnergy workshop on reinforcement learning for energy management in buildings & cities (RLEM). 307-308 - Kuldeep R. Kurte, Kadir Amasyali, Jeffrey Munk, Helia Zandi:
Comparative analysis of model-free and model-based HVAC control for residential demand response. 309-313 - Avisek Naug, Marcos Quiñones-Grueiro, Gautam Biswas:
Sensitivity and robustness of end-to-end data-driven approach for building performance optimization. 314-318 - Javier Jiménez Raboso, Alejandro Campoy-Nieves, Antonio Manjavacas-Lucas, Juan Gómez-Romero, Miguel Molina-Solana:
Sinergym: a building simulation and control framework for training reinforcement learning agents. 319-323 - Marco Biemann, Xiufeng Liu, Yifeng Zeng, Lizhen Huang:
Addressing partial observability in reinforcement learning for energy management. 324-328 - Khoder Jneid, Stéphane Ploix, Patrick Reignier, Pierre Jallon:
Deep Q-network boosted with external knowledge for HVAC control. 329-332 - Ruben Glatt, Felipe Leno da Silva, Braden Soper, William A. Dawson, Edward Rusu, Ryan A. Goldhahn:
Collaborative energy demand response with decentralized actor and centralized critic. 333-337
WORKSHOP SESSION: Workshop - Balances'21
- Bing Dong, Romana Markovic, Salvatore Carlucci:
The 1st ACM international workshop on big data and machine learning for smart buildings and cities. 338-340 - Brent Huchuk, Farid Bahiraei, Saptak Dutta:
Data-driven identification of occupant-thermostat interactions in small commercial buildings. 341-344 - Julien Leprince, Clayton Miller, Mario Frei, Henrik Madsen, Wim Zeiler:
Fifty shades of black: uncovering physical models from symbolic regressions for scalable building heat dynamics identification. 345-348 - Yunjeong Mo, Dong Zhao:
Application of occupant behavior prediction model on residential big data analysis. 349-352 - Tahiya Chowdhury, Ansh Bhatti, Ilan Mandel, Taqiya Ehsan, Wendy Ju, Jorge Ortiz:
Towards sensing urban-scale COVID-19 policy compliance in new york city. 353-356 - Devanshu Kumar, Xianzhong Ding, Wan Du, Alberto Cerpa:
Building sensor fault detection and diagnostic system. 357-360 - Marcel Dix, Reuben Borrison:
Open set anomaly classification. 361-364 - Ojas Pradhan, Jin Wen, Yimin Chen, Xing Lu, Mengyuan Chu, Yangyang Fu, Zheng O'Neill, Teresa Wu, K. Selcuk Candan:
Dynamic bayesian network-based fault diagnosis for ASHRAE guideline 36: high performance sequence of operation for HVAC systems. 365-368 - Dimitris Mavrokapnidis, Kyriakos Katsigarakis, Pieter Pauwels, Ekaterina Petrova, Ivan Korolija, Dimitrios Rovas:
A linked-data paradigm for the integration of static and dynamic building data in digital twins. 369-372
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