Table of Contents

• Learning-based framework for sensor fault-tolerant building HVAC control with model-assisted learningShichao Xu, Yangyang Fu, Yixuan Wang, Zheng O'Neill, Qi Zhu 0002. 1-10 [doi]
• UbiTrack: enabling scalable & low-cost device localization with onboard wifiWenpeng Wang, Zetian Liu, Jiechao Gao, Nurani Saoda, Bradford Campbell. 11-20 [doi]
• Learn to chill: intelligent chiller scheduling using meta-learning and deep reinforcement learningPraveen Manoharan 0002, Malini Pooni Venkat, Srinarayana Nagarathinam, Arunchandar Vasan. 21-30 [doi]
• Activity-aware privacy protection for smart water metersRachel Cardell-Oliver, Harrison Carter-Turner. 31-40 [doi]
• Holistic energy awareness for intelligent dronesSrinivasan Iyengar, Ravi Raj Saxena, Joydeep Pal, Bhawana Chhaglani, Anurag Ghosh, Venkata N. Padmanabhan, Prabhakar T. Venkata. 41-50 [doi]
• QUILT: quantify, infer and label the thermal efficiency of heating and cooling residential homesJoe Brown, Alessandro Abate, Alex Rogers. 51-60 [doi]
• CS-light: camera sensing based occupancy-aware robust smart building lighting controlAnuradha Ravi, Kasun Galmath, Siyan Hu, Archan Misra. 61-70 [doi]
• PIRMedic: physics-driven fault diagnosis for PIR sensorsAshish Kashinath, Sibin Mohan, Akshay Nambi 0001, Sumukh Marathe. 71-80 [doi]
• Energy-efficient parking analytics system using deep reinforcement learningYoones Rezaei, Stephen Lee, Daniel Mossé. 81-90 [doi]
• Can I go for a roof walk today?: know your housing's air quality from a thermo-hygrometerPraveen Kumar Sharma, Prasenjit Karmakar, Soumyajit Chatterjee, Abhijit Roy, Santanu Mandal, Sandip Chakraborty, Subrata Nandi, Sujoy Saha. 91-100 [doi]
• The space broker: a middleware for mediating interactions in smart IoT spacesHamim Md Adal, Colin Milhaupt, Jie Hua 0002, Christine Julien 0001, Gruia-Catalin Roman. 101-110 [doi]
• SCHMEAR: scalable construction of holistic models for energy analysis from rooftopsThomas R. Dougherty, Tianyuan Huang, Yirong Chen, Rishee K. Jain, Ram Rajagopal. 111-120 [doi]
• VPeak: exploiting volunteer energy resources for flexible peak shavingPhuthipong Bovornkeeratiroj, John Wamburu, David E. Irwin 0001, Prashant J. Shenoy. 121-130 [doi]
• Offline-online reinforcement learning for energy pricing in office demand response: lowering energy and data costsDoseok Jang, Lucas Spangher, Tarang Srivastava, Manan Khattar, Utkarsha Agwan, Selvaprabu Nadarajah, Costas J. Spanos. 131-139 [doi]
• Marble: collaborative scheduling of batteryless sensors with meta reinforcement learningFrancesco Fraternali, Bharathan Balaji, Dezhi Hong, Yuvraj Agarwal, Rajesh K. Gupta 0001. 140-149 [doi]
• Query relaxation for portable brick-based applicationsImane Lahmam Bennani, Anand Krishnan Prakash, Marina Zafiris, Lazlo Paul, Carlos Duarte Roa, Paul Raftery, Marco Pritoni, Gabe Fierro. 150-159 [doi]
• Identifying the relationship between seasonal variation in residential load and socioeconomic characteristicsZhenyu Wang, Hao Wang. 160-163 [doi]
• Towards semantic search in building sensor dataAndrew Villca-Rocha, Max Zheng, Chengzhu Duan, Hongning Wang. 164-167 [doi]
• Improving load forecast in energy markets during COVID-19Ziyun Wang, Hao Wang. 168-171 [doi]
• Neural network approaches and dataset parser for NILM toolkitHetvi Shastri, Nipun Batra 0001. 172-175 [doi]
• Demand flexibility potential model for multi-zone commercial buildings using internal HVAC system statesElvin Vindel Pinto, Mario Bergés, Burcu Akinci, Olga Kavvada. 176-179 [doi]
• Temporal convolutional networks for fault diagnosis of photovoltaic systems using satellite and inverter measurementsJonas Van Gompel, Domenico Spina, Chris Develder. 180-183 [doi]
• Operational characteristics of residential air conditioners with temporally granular remote thermographic imagingPandarasamy Arjunan, Gregory Dobler, Kyungmin Lee, Clayton Miller, Filip Biljecki, Kameshwar Poolla. 184-187 [doi]
• Heat reuse models for liquid cooled data centers integrated with district heatingVictor-Alexandru Padurean, Andrei-Alexandru Cristea, Marcel Antal. 188-191 [doi]
• WinSet: the first multi-modal window dataset for heterogeneous window statesTzu-Yi Fan, Tun-Chi Tsai, Cheng-Hsin Hsu, Fangqi Liu, Nalini Venkatasubramanian. 192-195 [doi]
• Sharing economy meets energy markets: group purchasing of energy plans in retail energy marketsYue Zhou, Sid Chi-Kin Chau. 196-199 [doi]
• Decoupling the unfairness propagation chain in crowd sensing and learning systems for spatio-temporal urban monitoringGang Wang, Shijia Pan, Susu Xu. 200-203 [doi]
• I want it that way: thermal desirability in shared spacesNadine von Frankenberg, Vivian Loftness, Bernd Bruegge. 204-207 [doi]
• Marble: collaborative scheduling of batteryless sensors with meta reinforcement learningFrancesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Rajesh Gupta. 208-209 [doi]
• Real-time data visualisation on the adaptive city platformJustas Brazauskas, Rohit Verma, Vadim Safronov, Matthew Danish, Ian Lewis, Richard Mortier. 210-211 [doi]
• User privacy leakages from federated learning in NILM applicationsYunchuan Shi, Wei Li 0058, Xiaomin Chang, Albert Y. Zomaya. 212-213 [doi]
• Cyber-attack detection for automotive cyber-physical systemsSuyun Lee, Sunjae Jung, Youngmi Baek. 214-215 [doi]
• A flagged or spam?: social media driven public interactions for natural disaster response and recoveryAparna Hariharan, June Young Park. 216-217 [doi]
• The citylearn challenge 2021Zoltán Nagy 0002, José R. Vázquez-Canteli, Sourav Dey, Gregor Henze. 218-219 [doi]
• Offline-online reinforcement learning for generalizing demand response price-setting to energy systemsDoseok Jang, Lucas Spangher, Manan Khattar, Utkarsha Agwan, Selvaprabuh Nadarajah, Costas J. Spanos. 220-221 [doi]
• Comparison of machine learning methods to predict sleep quality from daytime activity and nightly bedroom environmental conditionsHagen Fritz, Congyu Wu, Kerry A. Kinney, Zoltán Nagy 0002. 222-223 [doi]
• Energy efficient timely transportation: a comparative study of internal combustion trucks and electric trucksJunyan Su, Minghua Chen 0001, Haibo Zeng. 224-225 [doi]
• Integrating IoT-sensing and crowdsensing for privacy-preserving parking monitoringHanwei Zhu, Sid Chi-Kin Chau. 226-227 [doi]
• Assisting automated fault detection and diagnostics in building automation through semantic description of functions and process dataGanesh Ramanathan, Maria Husmann, Christoph Niedermeier, Norbert Vicari, Kimberly García, Simon Mayer. 228-229 [doi]
• Unsupervised personal thermal comfort prediction via adversarial domain adaptationHari Prasanna Das, Stefano Schiavon, Costas J. Spanos. 230-231 [doi]
• Improving duck curve by dynamic pricing and battery scheduling based on a deep reinforcement learning approachDaichi Watari, Ittetsu Taniguchi, Takao Onoye. 232-233 [doi]
• Towards 3D indoor airflow monitoring based on differential pressure measurementsJan Schlichter, Roman Ficht, Lars C. Wolf. 234-235 [doi]
• The smart building privacy challengeTong Wu, Murtadha Aldeer, Tahiya Chowdhury, Amber Haynes, Fateme Nikseresht, Mahsa Pahlavikhah Varnosfaderani, Jiechao Gao, Arsalan Heydarian, Brad Campbell, Jorge Ortiz. 238-239 [doi]
• Towards pro-social load balancing in energy communitiesNuno Velosa, Lucas Pereira. 240-241 [doi]
• Cohort-based personal comfort models for HVAC occupant-centric controlMatias Quintana. 242-243 [doi]
• Transactive multi-agent reinforcement learning for distributed energy price localizationLucas Spangher. 244-245 [doi]
• Autonomous buildingsGanesh Ramanathan. 246-247 [doi]
• Towards utility-aware privacy-preserving sensor data anonymization in distributed IoTXin Yang. 248-249 [doi]
• DeepOPF: deep neural networks for optimal power flowXiang Pan. 250-251 [doi]
• FATEsys 2021: the first ACM SIGEnergy workshop on fair, accountable, transparent, and ethical (FATE) AI for smart environments and energy systemsMilan Jain, Pandarasamy Arjunan. 252-254 [doi]
• Toward explainable and interpretable building energy modelling: an explainable artificial intelligence approachWei Zhang, Fang Liu, Yonggang Wen 0001, Bernard Nee. 255-258 [doi]
• Towards equity in energy efficiency analysesJohn Wamburu, Emma Grazier, David E. Irwin 0001, Christine Crago, Prashant J. Shenoy. 259-263 [doi]
• Data balancing for thermal comfort datasets using conditional wasserstein GAN with a weighted loss functionHiroki Yoshikawa, Akira Uchiyama, Teruo Higashino. 264-267 [doi]
• Transparent AI: explainability of deep learning based load disaggregationDavid Murray, Lina Stankovic, Vladimir Stankovic 0001. 268-271 [doi]
• Estimating residential energy flexibility potential through forced activationsHussain Kazmi, Pieterjan Vaneerdewegh, Johan Driesen. 272-275 [doi]
• Containerized framework for building control performance comparisons: model predictive control vs deep reinforcement learning controlYangyang Fu, Shichao Xu, Qi Zhu 0002, Zheng O'Neill. 276-280 [doi]
• A representational learning assisted matrix factorization approach for electrical load disaggregationSpoorthy Paresh, Naveen Kumar Thokala, Vishnu Brindavanam, M. Girish Chandra. 281-285 [doi]
• Towards improved thermal comfort predictions for building controls: hierarchical bayesian modelling of indoor environmental design conditionsSarah Crosby, Adam Rysanek. 286-289 [doi]
• Clustering appliance energy consumption data for occupant energy-behavior modelingPoorvesh Dongre, Asma Aldrees, Denis Gracanin. 290-293 [doi]
• Semantic data integration with DevOps to support engineering process of intelligent building automation systemsIori Mizutani, Ganesh Ramanathan, Simon Mayer. 294-297 [doi]
• Intelligent household waste collectionMartin Damyanov Aleksandrov. 298-301 [doi]
• Tracking urban heartbeat and policy compliance through vision and language-based sensingTahiya Chowdhury, Qizhen Ding, Ilan Mandel, Wendy Ju, Jorge Ortiz. 302-306 [doi]
• The second ACM SIGEnergy workshop on reinforcement learning for energy management in buildings & cities (RLEM)Zoltán Nagy 0002, June Young Park, Jan Drgona, Matias Quintana. 307-308 [doi]
• Comparative analysis of model-free and model-based HVAC control for residential demand responseKuldeep R. Kurte, Kadir Amasyali, Jeffrey Munk, Helia Zandi. 309-313 [doi]
• Sensitivity and robustness of end-to-end data-driven approach for building performance optimizationAvisek Naug, Marcos Quiñones-Grueiro, Gautam Biswas. 314-318 [doi]
• Sinergym: a building simulation and control framework for training reinforcement learning agentsJavier Jiménez Raboso, Alejandro Campoy-Nieves, Antonio Manjavacas-Lucas, Juan Gómez-Romero, Miguel Molina-Solana. 319-323 [doi]
• Addressing partial observability in reinforcement learning for energy managementMarco Biemann, Xiufeng Liu, Yifeng Zeng, Lizhen Huang. 324-328 [doi]
• Deep Q-network boosted with external knowledge for HVAC controlKhoder Jneid, Stéphane Ploix, Patrick Reignier, Pierre Jallon. 329-332 [doi]
• Collaborative energy demand response with decentralized actor and centralized criticRuben Glatt, Felipe Leno da Silva, Braden Soper, William A. Dawson, Edward Rusu, Ryan A. Goldhahn. 333-337 [doi]
• The 1st ACM international workshop on big data and machine learning for smart buildings and citiesBing Dong, Romana Markovic, Salvatore Carlucci. 338-340 [doi]
• Data-driven identification of occupant-thermostat interactions in small commercial buildingsBrent Huchuk, Farid Bahiraei, Saptak Dutta. 341-344 [doi]
• Fifty shades of black: uncovering physical models from symbolic regressions for scalable building heat dynamics identificationJulien Leprince, Clayton Miller, Mario Frei, Henrik Madsen, Wim Zeiler. 345-348 [doi]
• Application of occupant behavior prediction model on residential big data analysisYunjeong Mo, Dong Zhao. 349-352 [doi]
• Towards sensing urban-scale COVID-19 policy compliance in new york cityTahiya Chowdhury, Ansh Bhatti, Ilan Mandel, Taqiya Ehsan, Wendy Ju, Jorge Ortiz. 353-356 [doi]
• Building sensor fault detection and diagnostic systemDevanshu Kumar, Xianzhong Ding, Wan Du, Alberto Cerpa. 357-360 [doi]
• Open set anomaly classificationMarcel Dix, Reuben Borrison. 361-364 [doi]
• Dynamic bayesian network-based fault diagnosis for ASHRAE guideline 36: high performance sequence of operation for HVAC systemsOjas Pradhan, Jin Wen, Yimin Chen, Xing Lu, Mengyuan Chu, Yangyang Fu, Zheng O'Neill, Teresa Wu, K. Selcuk Candan. 365-368 [doi]
• A linked-data paradigm for the integration of static and dynamic building data in digital twinsDimitris Mavrokapnidis, Kyriakos Katsigarakis, Pieter Pauwels, Ekaterina Petrova, Ivan Korolija, Dimitrios Rovas. 369-372 [doi]