{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T02:03:50Z","timestamp":1784685830727,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":43,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,11,17]],"date-time":"2021-11-17T00:00:00Z","timestamp":1637107200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"NSF (National Science Foundation)","doi-asserted-by":"publisher","award":["1834701, 1839511, 2038853"],"award-info":[{"award-number":["1834701, 1839511, 2038853"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000015","name":"DOE U.S. Department of Energy","doi-asserted-by":"publisher","award":["DE-EE0009150"],"award-info":[{"award-number":["DE-EE0009150"]}],"id":[{"id":"10.13039\/100000015","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,11,17]]},"DOI":"10.1145\/3486611.3486644","type":"proceedings-article","created":{"date-parts":[[2021,11,18]],"date-time":"2021-11-18T01:24:25Z","timestamp":1637198665000},"page":"1-10","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":12,"title":["Learning-based framework for sensor fault-tolerant building HVAC control with model-assisted learning"],"prefix":"10.1145","author":[{"given":"Shichao","family":"Xu","sequence":"first","affiliation":[{"name":"Northwestern University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yangyang","family":"Fu","sequence":"additional","affiliation":[{"name":"Texas A&M University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yixuan","family":"Wang","sequence":"additional","affiliation":[{"name":"Northwestern University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zheng","family":"O'Neill","sequence":"additional","affiliation":[{"name":"Texas A&M University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qi","family":"Zhu","sequence":"additional","affiliation":[{"name":"Northwestern University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2021,11,17]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"International conference on machine learning. PMLR, 1597--1607","author":"Chen Ting","year":"2020","unstructured":"Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey Hinton . 2020 . A simple framework for contrastive learning of visual representations . In International conference on machine learning. PMLR, 1597--1607 . Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In International conference on machine learning. PMLR, 1597--1607."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2019.119866"},{"key":"e_1_3_2_1_3_1","first-page":"49","article-title":"Energy plus: energy simulation program","volume":"42","author":"Crawley Drury B","year":"2000","unstructured":"Drury B Crawley , Linda K Lawrie , Curtis O Pedersen , and Frederick C Winkelmann . 2000 . Energy plus: energy simulation program . ASHRAE journal 42 , 4 (2000), 49 -- 56 . Drury B Crawley, Linda K Lawrie, Curtis O Pedersen, and Frederick C Winkelmann. 2000. Energy plus: energy simulation program. ASHRAE journal 42, 4 (2000), 49--56.","journal-title":"ASHRAE journal"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.03.026"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2013.12.038"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.buildenv.2013.11.021"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.snb.2013.03.034"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2992117"},{"key":"e_1_3_2_1_9_1","volume-title":"Improving energy efficiency and thermal comfort of smart buildings with HVAC systems in the presence of sensor faults. In 2015 IEEE HPCC-CSS-ICESS","author":"Gunes Volkan","unstructured":"Volkan Gunes , Steffen Peter , and Tony Givargis . 2015. Improving energy efficiency and thermal comfort of smart buildings with HVAC systems in the presence of sensor faults. In 2015 IEEE HPCC-CSS-ICESS . IEEE , 945--950. Volkan Gunes, Steffen Peter, and Tony Givargis. 2015. Improving energy efficiency and thermal comfort of smart buildings with HVAC systems in the presence of sensor faults. In 2015 IEEE HPCC-CSS-ICESS. IEEE, 945--950."},{"key":"e_1_3_2_1_10_1","volume-title":"Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531","author":"Hinton Geoffrey","year":"2015","unstructured":"Geoffrey Hinton , Oriol Vinyals , and Jeff Dean . 2015. Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531 ( 2015 ). Geoffrey Hinton, Oriol Vinyals, and Jeff Dean. 2015. Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531 (2015)."},{"key":"e_1_3_2_1_11_1","volume-title":"BACnet wide area network security threat assessment. US Department of Commerce","author":"Holmberg David G","unstructured":"David G Holmberg and D Evans . 2003. BACnet wide area network security threat assessment. US Department of Commerce , National Institute of Standards and Technology . David G Holmberg and D Evans. 2003. BACnet wide area network security threat assessment. US Department of Commerce, National Institute of Standards and Technology."},{"key":"e_1_3_2_1_12_1","volume-title":"Fault tolerant control of outdoor air and AHU supply air temperature in VAV air conditioning systems using PCA method. Applied Thermal Engineering","author":"Jin Xinqiao","year":"2006","unstructured":"Xinqiao Jin and Zhimin Du. 2006. Fault tolerant control of outdoor air and AHU supply air temperature in VAV air conditioning systems using PCA method. Applied Thermal Engineering ( 2006 ). Xinqiao Jin and Zhimin Du. 2006. Fault tolerant control of outdoor air and AHU supply air temperature in VAV air conditioning systems using PCA method. Applied Thermal Engineering (2006)."},{"key":"e_1_3_2_1_13_1","unstructured":"Woohyun Kim and Srinivas Katipamula. 2018. A review of fault detection and diagnostics methods for building systems. Sci. Technol. Built Environ. (2018).  Woohyun Kim and Srinivas Katipamula. 2018. A review of fault detection and diagnostics methods for building systems. Sci. Technol. Built Environ. (2018)."},{"key":"e_1_3_2_1_14_1","volume-title":"Sequence-level knowledge distillation. arXiv preprint arXiv:1606.07947","author":"Kim Yoon","year":"2016","unstructured":"Yoon Kim and Alexander M Rush . 2016. Sequence-level knowledge distillation. arXiv preprint arXiv:1606.07947 ( 2016 ). Yoon Kim and Alexander M Rush. 2016. Sequence-level knowledge distillation. arXiv preprint arXiv:1606.07947 (2016)."},{"key":"e_1_3_2_1_15_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014). Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1038\/sj.jea.7500165"},{"key":"e_1_3_2_1_17_1","volume-title":"Towards Intelligent Multi-Zone Thermal Control with Multi-Agent Deep Reinforcement Learning","author":"Li Jie","year":"2021","unstructured":"Jie Li , Wei Zhang , Guanyu Gao , Yonggang Wen , Guangyu Jin , and Georgios Christopoulos . 2021. Towards Intelligent Multi-Zone Thermal Control with Multi-Agent Deep Reinforcement Learning . IEEE IoT Journal ( 2021 ). Jie Li, Wei Zhang, Guanyu Gao, Yonggang Wen, Guangyu Jin, and Georgios Christopoulos. 2021. Towards Intelligent Multi-Zone Thermal Control with Multi-Agent Deep Reinforcement Learning. IEEE IoT Journal (2021)."},{"key":"e_1_3_2_1_18_1","volume-title":"Transfer Learning Applied to Reinforcement Learning-Based HVAC Control. SN Computer Science 1","author":"Lissa Paulo","year":"2020","unstructured":"Paulo Lissa , Michael Schukat , and Enda Barrett . 2020. Transfer Learning Applied to Reinforcement Learning-Based HVAC Control. SN Computer Science 1 ( 2020 ). Paulo Lissa, Michael Schukat, and Enda Barrett. 2020. Transfer Learning Applied to Reinforcement Learning-Based HVAC Control. SN Computer Science 1 (2020)."},{"key":"e_1_3_2_1_19_1","volume-title":"Sensor fault detection and diagnosis method for AHU Using 1-D CNN and clustering analysis. Computational intelligence and neuroscience 2019","author":"Liu Jingjing","year":"2019","unstructured":"Jingjing Liu , Min Zhang , Hai Wang , Wei Zhao , and Yan Liu . 2019. Sensor fault detection and diagnosis method for AHU Using 1-D CNN and clustering analysis. Computational intelligence and neuroscience 2019 ( 2019 ). Jingjing Liu, Min Zhang, Hai Wang, Wei Zhao, and Yan Liu. 2019. Sensor fault detection and diagnosis method for AHU Using 1-D CNN and clustering analysis. Computational intelligence and neuroscience 2019 (2019)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1080\/10789669.2011.568320"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1115\/DSCC2011-6078"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2020.110492"},{"key":"e_1_3_2_1_23_1","volume-title":"Online energy management in commercial buildings using deep reinforcement learning. In 2019 IEEE SMARTCOMP","author":"Naug Aviek","unstructured":"Aviek Naug , Ibrahim Ahmed , and Gautam Biswas . 2019. Online energy management in commercial buildings using deep reinforcement learning. In 2019 IEEE SMARTCOMP . IEEE , 249--257. Aviek Naug, Ibrahim Ahmed, and Gautam Biswas. 2019. Online energy management in commercial buildings using deep reinforcement learning. In 2019 IEEE SMARTCOMP. IEEE, 249--257."},{"key":"e_1_3_2_1_24_1","volume-title":"BACnet: The Global Standard for Building Automation and Control Networks","author":"Newman H Michael","unstructured":"H Michael Newman . 2013. BACnet: The Global Standard for Building Automation and Control Networks . Momentum Press . H Michael Newman. 2013. BACnet: The Global Standard for Building Automation and Control Networks. Momentum Press."},{"key":"e_1_3_2_1_25_1","unstructured":"United States Department of Labor. 2021. OSHA Technical Manual (OTM) Section III: Chapter 2.  United States Department of Labor. 2021. OSHA Technical Manual (OTM) Section III: Chapter 2."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2018.09.650"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"crossref","unstructured":"George Papandreou Liang-Chieh Chen Kevin P Murphy and Alan L Yuille. 2015. Weakly-and semi-supervised learning of a deep convolutional network for semantic image segmentation. In ICCV.  George Papandreou Liang-Chieh Chen Kevin P Murphy and Alan L Yuille. 2015. Weakly-and semi-supervised learning of a deep convolutional network for semantic image segmentation. In ICCV.","DOI":"10.1109\/ICCV.2015.203"},{"key":"e_1_3_2_1_28_1","volume-title":"A fault detection and diagnosis strategy of VAV air-conditioning systems for improved energy and control performances. Energy and buildings 37, 10","author":"Qin Jianying","year":"2005","unstructured":"Jianying Qin and Shengwei Wang . 2005. A fault detection and diagnosis strategy of VAV air-conditioning systems for improved energy and control performances. Energy and buildings 37, 10 ( 2005 ), 1035--1048. Jianying Qin and Shengwei Wang. 2005. A fault detection and diagnosis strategy of VAV air-conditioning systems for improved energy and control performances. Energy and buildings 37, 10 (2005), 1035--1048."},{"key":"e_1_3_2_1_29_1","volume-title":"A distributed architecture for HVAC sensor fault detection and isolation","author":"Reppa Vasso","year":"2014","unstructured":"Vasso Reppa , Panayiotis Papadopoulos , Marios M Polycarpou , and Christos G Panayiotou . 2014. A distributed architecture for HVAC sensor fault detection and isolation . IEEE Transactions on Control Systems Technology ( 2014 ). Vasso Reppa, Panayiotis Papadopoulos, Marios M Polycarpou, and Christos G Panayiotou. 2014. A distributed architecture for HVAC sensor fault detection and isolation. IEEE Transactions on Control Systems Technology (2014)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2016.09.044"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v24i1.7699"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2019.111924"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0360-1323(01)00076-2"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2004.11.002"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3061639.3062224"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1080\/19401493.2010.518631"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"crossref","unstructured":"Stephen Wilcox and William Marion. 2008. Users manual for TMY3 data sets. (2008).  Stephen Wilcox and William Marion. 2008. Users manual for TMY3 data sets. (2008).","DOI":"10.2172\/928611"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2017.02.023"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3408308.3427617"},{"key":"e_1_3_2_1_40_1","volume-title":"Optimum operating performance based online fault-tolerant control strategy for sensor faults in air conditioning systems. Automation in Construction 37","author":"Yang Xue-Bin","year":"2014","unstructured":"Xue-Bin Yang , Xin-Qiao Jin , Zhi-Min Du , Bo Fan , and Yong-Hua Zhu . 2014. Optimum operating performance based online fault-tolerant control strategy for sensor faults in air conditioning systems. Automation in Construction 37 ( 2014 ). Xue-Bin Yang, Xin-Qiao Jin, Zhi-Min Du, Bo Fan, and Yong-Hua Zhu. 2014. Optimum operating performance based online fault-tolerant control strategy for sensor faults in air conditioning systems. Automation in Construction 37 (2014)."},{"key":"e_1_3_2_1_41_1","volume-title":"2018 Building Performance Analysis Conference and SimBuild","volume":"3","author":"Zhang Zhiang","year":"2018","unstructured":"Zhiang Zhang , Adrian Chong , Yuqi Pan , Chenlu Zhang , Siliang Lu , and Khee Poh Lam . 2018 . A deep reinforcement learning approach to using whole building energy model for hvac optimal control . In 2018 Building Performance Analysis Conference and SimBuild , Vol. 3 . 22--23. Zhiang Zhang, Adrian Chong, Yuqi Pan, Chenlu Zhang, Siliang Lu, and Khee Poh Lam. 2018. A deep reinforcement learning approach to using whole building energy model for hvac optimal control. In 2018 Building Performance Analysis Conference and SimBuild, Vol. 3. 22--23."},{"key":"e_1_3_2_1_42_1","volume-title":"A brief introduction to weakly supervised learning. National science review 5, 1","author":"Zhou Zhi-Hua","year":"2018","unstructured":"Zhi-Hua Zhou . 2018. A brief introduction to weakly supervised learning. National science review 5, 1 ( 2018 ), 44--53. Zhi-Hua Zhou. 2018. A brief introduction to weakly supervised learning. National science review 5, 1 (2018), 44--53."},{"key":"e_1_3_2_1_43_1","volume-title":"Introduction to semi-supervised learning. Synthesis lectures on artificial intelligence and machine learning 3, 1","author":"Zhu Xiaojin","year":"2009","unstructured":"Xiaojin Zhu and Andrew B Goldberg . 2009. Introduction to semi-supervised learning. Synthesis lectures on artificial intelligence and machine learning 3, 1 ( 2009 ), 1--130. Xiaojin Zhu and Andrew B Goldberg. 2009. Introduction to semi-supervised learning. Synthesis lectures on artificial intelligence and machine learning 3, 1 (2009), 1--130."}],"event":{"name":"BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","location":"Coimbra Portugal","acronym":"BuildSys '21","sponsor":["SIGEnergy ACM Special Interest Group on Energy Systems and Informatics"]},"container-title":["Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3486611.3486644","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3486611.3486644","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3486611.3486644","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:48:40Z","timestamp":1750193320000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3486611.3486644"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,17]]},"references-count":43,"alternative-id":["10.1145\/3486611.3486644","10.1145\/3486611"],"URL":"https:\/\/doi.org\/10.1145\/3486611.3486644","relation":{},"subject":[],"published":{"date-parts":[[2021,11,17]]},"assertion":[{"value":"2021-11-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}