{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T07:58:54Z","timestamp":1776931134186,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":87,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,4,13]]},"DOI":"10.1145\/3772318.3791126","type":"proceedings-article","created":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T07:34:33Z","timestamp":1776065673000},"page":"1-18","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["AI and Sustainable Building Automation Systems (BAS): Envisioned Roles and Emerging Challenges"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2211-0935","authenticated-orcid":false,"given":"Ethan Z.","family":"Rong","sequence":"first","affiliation":[{"name":"Faculty of Information, University of Toronto, Toronto, Ontario, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1717-4456","authenticated-orcid":false,"given":"Dina","family":"Sabie","sequence":"additional","affiliation":[{"name":"Faculty of Media and Creative Arts, Humber College, Toronto, Ontario, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8175-7698","authenticated-orcid":false,"given":"Mugeng","family":"Liu","sequence":"additional","affiliation":[{"name":"University of Toronto, Toronto, Ontario, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4520-9783","authenticated-orcid":false,"given":"Camellia","family":"Zakaria","sequence":"additional","affiliation":[{"name":"Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9451-2909","authenticated-orcid":false,"given":"Rhonda","family":"McEwen","sequence":"additional","affiliation":[{"name":"Institute of Communication, Culture, Information and Technology, University of Toronto Mississauga, Mississauga, Ontario, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9904-6081","authenticated-orcid":false,"given":"Samar","family":"Sabie","sequence":"additional","affiliation":[{"name":"Institute of Communication, Culture, Information and Technology, University of Toronto, Toronto, Ontario, Canada"}]}],"member":"320","published-online":{"date-parts":[[2026,4,13]]},"reference":[{"key":"e_1_3_3_1_2_2","volume-title":"World Energy Outlook","author":"Agency International\u00a0Energy","year":"2023","unstructured":"International\u00a0Energy Agency. 2023. World Energy Outlook. Technical Report. International Energy Agency."},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1145\/2858036.2858222"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","unstructured":"Hamed\u00a0S. Alavi Elizabeth\u00a0F. Churchill Mikael Wiberg Denis Lalanne Peter Dalsgaard Ava Fatah\u00a0gen Schieck and Yvonne Rogers. 2019. Introduction to Human-Building Interaction (HBI): Interfacing HCI with Architecture and Urban Design. ACM Trans. Comput.-Hum. Interact. 26 2 Article 6 (March 2019) 10\u00a0pages. 10.1145\/3309714","DOI":"10.1145\/3309714"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","unstructured":"Prashant Anand Chirag Deb Ke Yan Junjing Yang David Cheong and Chandra Sekhar. 2021. Occupancy-Based Energy Consumption Modelling Using Machine Learning Algorithms for Institutional Buildings. Energy and Buildings 252 (Dec. 2021) 111478. 10.1016\/j.enbuild.2021.111478","DOI":"10.1016\/j.enbuild.2021.111478"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1145\/2971648.2971719"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"crossref","unstructured":"Simon\u00a0Elias Bibri Alahi Alexandre Ayyoob Sharifi and John Krogstie. 2023. Environmentally sustainable smart cities and their converging AI IoT and big data technologies and solutions: an integrated approach to an extensive literature review. Energy Inform. 6 1 (April 2023) 9.","DOI":"10.1186\/s42162-023-00259-2"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1145\/3173574.3173984"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1145\/1240624.1240705"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"crossref","unstructured":"Yassine Bouabdallaoui Zoubeir Lafhaj Pascal Yim Laure Ducoulombier and Belkacem Bennadji. 2021. Predictive maintenance in building facilities: A machine learning-based approach. Sensors 21 4 (2021) 1044.","DOI":"10.3390\/s21041044"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","unstructured":"Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative Research in Psychology 3 2 (2006) 77\u2013101. 10.1191\/1478088706qp063oa","DOI":"10.1191\/1478088706qp063oa"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","unstructured":"Christina Bremer Harshit Gujral Michelle Lin Lily Hinkers Christoph Becker and Vlad\u00a0C. Coroam\u0103. 2023. How Viable are Energy Savings in Smart Homes? A Call to Embrace Rebound Effects in Sustainable HCI. ACM J. Comput. Sustain. Soc. 1 1 Article 4 (Sept. 2023) 24\u00a0pages. 10.1145\/3608115","DOI":"10.1145\/3608115"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3517609"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1145\/3706598.3713754"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"crossref","unstructured":"G\u00f6sta Brown. 1990. The BRIS simulation program for thermal design of buildings and their services. Energy and Buildings 14 4 (1990) 385\u2013400.","DOI":"10.1016\/0378-7788(90)90100-W"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1145\/2207676.2208539"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"crossref","unstructured":"Yisheng Cao Gang Liu Jian Sun Durga\u00a0Prasad Bavirisetti and Gang Xiao. 2023. PSO-Stacking improved ensemble model for campus building energy consumption forecasting based on priority feature selection. Journal of Building Engineering 72 (2023) 106589.","DOI":"10.1016\/j.jobe.2023.106589"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"publisher","unstructured":"Qian Chai Huiqin Wang Yongchao Zhai and Liu Yang. 2020. Using Machine Learning Algorithms to Predict Occupants\u2019 Thermal Comfort in Naturally Ventilated Residential Buildings. Energy and Buildings 217 (June 2020) 109937. 10.1016\/j.enbuild.2020.109937","DOI":"10.1016\/j.enbuild.2020.109937"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"crossref","unstructured":"Kathy Charmaz. 2008. Grounded theory as an emergent method. Handbook of emergent methods 155 (2008) 172.","DOI":"10.4135\/9780857028044.d87"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3501929"},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"publisher","DOI":"10.1145\/2598510.2598529"},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"publisher","DOI":"10.1145\/2998181.2998188"},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1145\/3173574.3173956"},{"key":"e_1_3_3_1_24_2","volume-title":"Proceedings 6th international conference on ICT for sustainability. Lappeenranta. http:\/\/ceur-ws.org","volume":"2382","author":"Coroam\u0103 Vlad\u00a0C","year":"2019","unstructured":"Vlad\u00a0C Coroam\u0103 and Friedemann Mattern. 2019. Digital rebound\u2013why digitalization will not redeem us our environmental sins. In Proceedings 6th international conference on ICT for sustainability. Lappeenranta. http:\/\/ceur-ws.org , Vol.\u00a02382."},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"crossref","unstructured":"Drury\u00a0B Crawley Linda\u00a0K Lawrie Frederick\u00a0C Winkelmann Walter\u00a0F Buhl Y\u00a0Joe Huang Curtis\u00a0O Pedersen Richard\u00a0K Strand Richard\u00a0J Liesen Daniel\u00a0E Fisher Michael\u00a0J Witte et\u00a0al. 2001. EnergyPlus: creating a new-generation building energy simulation program. Energy and buildings 33 4 (2001) 319\u2013331.","DOI":"10.1016\/S0378-7788(00)00114-6"},{"key":"e_1_3_3_1_26_2","first-page":"1","volume-title":"ASEAN conference on energy conservation in buildings","author":"Curtis Richard\u00a0B","year":"1984","unstructured":"Richard\u00a0B Curtis, Bruce Birdsall, W\u00a0Fred Buhl, Ender Erdem, Joseph Eto, James\u00a0J Hirsch, Karen\u00a0H Olson, and Frederick\u00a0C Winkelmann. 1984. The DOE-2 building energy analysis program. In ASEAN conference on energy conservation in buildings. 1\u201325."},{"key":"e_1_3_3_1_27_2","doi-asserted-by":"publisher","unstructured":"Anooshmita Das Masab\u00a0Khalid Annaqeeb Elie Azar Vojislav Novakovic and Mikkel\u00a0Baun Kj\u00e6rgaard. 2020. Occupant-Centric Miscellaneous Electric Loads Prediction in Buildings Using State-of-the-Art Deep Learning Methods. Applied Energy 269 (July 2020) 115135. 10.1016\/j.apenergy.2020.115135","DOI":"10.1016\/j.apenergy.2020.115135"},{"key":"e_1_3_3_1_28_2","doi-asserted-by":"crossref","unstructured":"Pieter De\u00a0Wilde. 2014. The gap between predicted and measured energy performance of buildings: A framework for investigation. Automation in construction 41 (2014) 40\u201349.","DOI":"10.1016\/j.autcon.2014.02.009"},{"key":"e_1_3_3_1_29_2","doi-asserted-by":"publisher","DOI":"10.1145\/2702123.2702515"},{"key":"e_1_3_3_1_30_2","doi-asserted-by":"publisher","unstructured":"Pedro Domingues Paulo Carreira Renato Vieira and Wolfgang Kastner. 2016. Building Automation Systems: Concepts and Technology Review. Computer Standards & Interfaces 45 (March 2016) 1\u201312. 10.1016\/j.csi.2015.11.005","DOI":"10.1016\/j.csi.2015.11.005"},{"key":"e_1_3_3_1_31_2","doi-asserted-by":"publisher","unstructured":"Wenjun Duan Yu Wang Junqing Li Yuanjie Zheng Chenguang Ning and Peiyong Duan. 2021. Real-Time Surveillance-Video-Based Personalized Thermal Comfort Recognition. Energy and Buildings 244 (Aug. 2021) 110989. 10.1016\/j.enbuild.2021.110989","DOI":"10.1016\/j.enbuild.2021.110989"},{"key":"e_1_3_3_1_32_2","doi-asserted-by":"crossref","unstructured":"Marco D\u2019Orazio Gabriele Bernardini and Elisa Di\u00a0Giuseppe. 2023. Automated priority assignment of building maintenance tasks using natural language processing and machine learning. Journal of Architectural Engineering 29 3 (2023) 04023027.","DOI":"10.1061\/JAEIED.AEENG-1516"},{"key":"e_1_3_3_1_33_2","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445188"},{"key":"e_1_3_3_1_34_2","doi-asserted-by":"publisher","unstructured":"Upol Ehsan Q.\u00a0Vera Liao Samir Passi Mark\u00a0O. Riedl and Hal Daum\u00e9. 2024. Seamful XAI: Operationalizing Seamful Design in Explainable AI. Proceedings of the ACM on Human-Computer Interaction 8 CSCW1 (April 2024) 1\u201329. 10.1145\/3637396","DOI":"10.1145\/3637396"},{"key":"e_1_3_3_1_35_2","doi-asserted-by":"publisher","unstructured":"Upol Ehsan Koustuv Saha Munmun De\u00a0Choudhury and Mark\u00a0O. Riedl. 2023. Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI. Proceedings of the ACM on Human-Computer Interaction 7 CSCW1 (April 2023) 1\u201332. 10.1145\/3579467","DOI":"10.1145\/3579467"},{"key":"e_1_3_3_1_36_2","doi-asserted-by":"crossref","unstructured":"Yu-Min Fang and Meng-Shien Sun. 2016. Applying eco-visualisations of different interface formats to evoke sustainable behaviours towards household water saving. Behav. Inf. Technol. 35 9 (Sept. 2016) 748\u2013757.","DOI":"10.1080\/0144929X.2016.1189965"},{"key":"e_1_3_3_1_37_2","unstructured":"Figma Inc.2025. Figma. https:\/\/www.figma.com\/. Accessed 2025-09-10."},{"key":"e_1_3_3_1_38_2","doi-asserted-by":"publisher","unstructured":"S.\u00a0Mitchell Finnigan A.\u00a0K. Clear G. Farr-Wharton K. Ladha and R. Comber. 2017. Augmenting Audits: Exploring the Role of Sensor Toolkits in Sustainable Buildings Management. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1 2 (June 2017) 10:1\u201310:19. 10.1145\/3090075","DOI":"10.1145\/3090075"},{"key":"e_1_3_3_1_39_2","doi-asserted-by":"publisher","DOI":"10.1145\/2858036.2858518"},{"key":"e_1_3_3_1_40_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581424"},{"key":"e_1_3_3_1_41_2","doi-asserted-by":"publisher","unstructured":"Sarah\u00a0E. Fox Samantha Shorey Esther\u00a0Y. Kang Dominique Montiel\u00a0Valle and Estefania Rodriguez. 2023. Patchwork: The Hidden Human Labor of AI Integration within Essential Work. Proc. ACM Hum.-Comput. Interact. 7 CSCW1 Article 81 (April 2023) 20\u00a0pages. 10.1145\/3579514","DOI":"10.1145\/3579514"},{"key":"e_1_3_3_1_42_2","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7585.001.0001"},{"key":"e_1_3_3_1_43_2","doi-asserted-by":"publisher","DOI":"10.1145\/1753326.1753629"},{"key":"e_1_3_3_1_44_2","doi-asserted-by":"publisher","unstructured":"Chaouki Ghenai Omar Ahmed\u00a0Abduljabbar Al-Mufti Omar Adil\u00a0Mashkoor Al-Isawi Lutfi Hatem\u00a0Lutfi Amirah and Adel Merabet. 2022. Short-Term Building Electrical Load Forecasting Using Adaptive Neuro-Fuzzy Inference System (ANFIS). Journal of Building Engineering 52 (July 2022) 104323. 10.1016\/j.jobe.2022.104323","DOI":"10.1016\/j.jobe.2022.104323"},{"key":"e_1_3_3_1_45_2","doi-asserted-by":"publisher","unstructured":"Jing Guo Penghui Lin Limao Zhang Yue Pan and Zhonghua Xiao. 2023. Dynamic Adaptive Encoder-Decoder Deep Learning Networks for Multivariate Time Series Forecasting of Building Energy Consumption. Applied Energy 350 (Nov. 2023) 121803. 10.1016\/j.apenergy.2023.121803","DOI":"10.1016\/j.apenergy.2023.121803"},{"key":"e_1_3_3_1_46_2","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445069"},{"key":"e_1_3_3_1_47_2","doi-asserted-by":"publisher","unstructured":"Ismayil Hasanov Seppo Virtanen Antti Hakkala and Jouni Isoaho. 2024. Application of Large Language Models in Cybersecurity: A Systematic Literature Review. IEEE Access 12 (2024) 176751\u2013176778. 10.1109\/ACCESS.2024.3505983","DOI":"10.1109\/ACCESS.2024.3505983"},{"key":"e_1_3_3_1_48_2","doi-asserted-by":"publisher","unstructured":"Yassine Himeur Mariam Elnour Fodil Fadli Nader Meskin Ioan Petri Yacine Rezgui Faycal Bensaali and Abbes Amira. 2023. AI-big Data Analytics for Building Automation and Management Systems: A Survey Actual Challenges and Future Perspectives. Artificial Intelligence Review 56 6 (June 2023) 4929\u20135021. 10.1007\/s10462-022-10286-2","DOI":"10.1007\/s10462-022-10286-2"},{"key":"e_1_3_3_1_49_2","volume-title":"The building loads analysis and system thermodynamics (BLAST) program","author":"Hittle DC","year":"1979","unstructured":"DC Hittle. 1979. The building loads analysis and system thermodynamics (BLAST) program. CERL."},{"key":"e_1_3_3_1_50_2","doi-asserted-by":"publisher","DOI":"10.1145\/2750858.2805831"},{"key":"e_1_3_3_1_51_2","doi-asserted-by":"publisher","unstructured":"Junhui Huang and Sakdirat Kaewunruen. 2023. Forecasting Energy Consumption of a Public Building Using Transformer and Support Vector Regression. Energies 16 2 (Jan. 2023) 966. 10.3390\/en16020966","DOI":"10.3390\/en16020966"},{"key":"e_1_3_3_1_52_2","doi-asserted-by":"publisher","DOI":"10.2172\/5144894"},{"key":"e_1_3_3_1_53_2","doi-asserted-by":"crossref","unstructured":"Syed\u00a0M Islam Saleh\u00a0M Al-Alawi and Khaled\u00a0A Ellithy. 1995. Forecasting monthly electric load and energy for a fast growing utility using an artificial neural network. Electric Power Systems Research 34 1 (1995) 1\u20139.","DOI":"10.1016\/0378-7796(95)00950-M"},{"key":"e_1_3_3_1_54_2","doi-asserted-by":"publisher","unstructured":"Mohammed\u00a0Ali Jallal Aurora Gonz\u00e1lez-Vidal Antonio\u00a0F. Skarmeta Samira Chabaa and Abdelouhab Zeroual. 2020. A Hybrid Neuro-Fuzzy Inference System-Based Algorithm for Time Series Forecasting Applied to Energy Consumption Prediction. Applied Energy 268 (June 2020) 114977. 10.1016\/j.apenergy.2020.114977","DOI":"10.1016\/j.apenergy.2020.114977"},{"key":"e_1_3_3_1_55_2","doi-asserted-by":"publisher","DOI":"10.1145\/3064663.3064747"},{"key":"e_1_3_3_1_56_2","doi-asserted-by":"publisher","DOI":"10.1145\/1753326.1753605"},{"key":"e_1_3_3_1_57_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3580882"},{"key":"e_1_3_3_1_58_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.emnlp-main.1215"},{"key":"e_1_3_3_1_59_2","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376590"},{"key":"e_1_3_3_1_60_2","doi-asserted-by":"crossref","unstructured":"Houjiang Liu Anubrata Das Alexander Boltz Didi Zhou Daisy Pinaroc Matthew Lease and Min\u00a0Kyung Lee. 2024. Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI. Proceedings of the ACM on Human-Computer Interaction 8 CSCW2 (2024) 1\u201344.","DOI":"10.1145\/3686962"},{"key":"e_1_3_3_1_61_2","doi-asserted-by":"publisher","unstructured":"Luis\u00a0Adri\u00e1n L\u00f3pez-P\u00e9rez and Jos\u00e9\u00a0Jass\u00f3n Flores-Prieto. 2023. Adaptive Thermal Comfort Approach to Save Energy in Tropical Climate Educational Building by Artificial Intelligence. Energy 263 (Jan. 2023) 125706. 10.1016\/j.energy.2022.125706","DOI":"10.1016\/j.energy.2022.125706"},{"key":"e_1_3_3_1_62_2","doi-asserted-by":"publisher","DOI":"10.1145\/3671127.3698175"},{"key":"e_1_3_3_1_63_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642396"},{"key":"e_1_3_3_1_64_2","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300343"},{"key":"e_1_3_3_1_65_2","doi-asserted-by":"publisher","DOI":"10.1145\/3025453.3025471"},{"key":"e_1_3_3_1_66_2","volume-title":"Qualitative research in practice: Examples for discussion and analysis","author":"Merriam Sharan\u00a0B","year":"2019","unstructured":"Sharan\u00a0B Merriam and Robin\u00a0S Grenier. 2019. Qualitative research in practice: Examples for discussion and analysis. John Wiley & Sons."},{"key":"e_1_3_3_1_67_2","doi-asserted-by":"publisher","DOI":"10.1145\/3287560.3287596"},{"key":"e_1_3_3_1_68_2","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376174"},{"key":"e_1_3_3_1_69_2","doi-asserted-by":"crossref","unstructured":"Rory Mulcahy Rebekah Russell-Bennett and Dawn Iacobucci. 2020. Designing gamified apps for sustainable consumption: A field study. J. Bus. Res. 106 (Jan. 2020) 377\u2013387.","DOI":"10.1016\/j.jbusres.2018.10.026"},{"key":"e_1_3_3_1_70_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67684-5_21"},{"key":"e_1_3_3_1_71_2","doi-asserted-by":"crossref","unstructured":"Ken Polin Tan Yigitcanlar Mark Limb and Tracy Washington. 2023. The making of smart campus: A review and conceptual framework. Buildings 13 4 (March 2023) 891.","DOI":"10.3390\/buildings13040891"},{"key":"e_1_3_3_1_72_2","doi-asserted-by":"publisher","DOI":"10.1145\/2993422.2993570"},{"key":"e_1_3_3_1_73_2","doi-asserted-by":"publisher","unstructured":"Franziska Roesner Tadayoshi Kohno and David Molnar. 2014. Security and Privacy for Augmented Reality Systems. Commun. ACM 57 4 (2014) 88\u201396. 10.1145\/2580723","DOI":"10.1145\/2580723"},{"key":"e_1_3_3_1_74_2","doi-asserted-by":"crossref","unstructured":"Roozbeh Sadeghian\u00a0Broujeny Safa Ben\u00a0Ayed and Mouadh Matalah. 2023. Energy consumption forecasting in a university office by artificial intelligence techniques: An analysis of the exogenous data effect on the modeling. Energies 16 10 (2023) 4065.","DOI":"10.3390\/en16104065"},{"key":"e_1_3_3_1_75_2","doi-asserted-by":"publisher","DOI":"10.2991\/ict4s-16.2016.22"},{"key":"e_1_3_3_1_76_2","doi-asserted-by":"publisher","unstructured":"Katie Shilton. 2018. Values and Ethics in Human-Computer Interaction. Foundations and Trends in Human\u2013Computer Interaction 12 2 (2018) 107\u2013171. 10.1561\/1100000073","DOI":"10.1561\/1100000073"},{"key":"e_1_3_3_1_77_2","doi-asserted-by":"crossref","unstructured":"Kailai Sun. 2024. DMFF: Deep multimodel feature fusion for building occupancy detection. Building and Environment 253 (2024) 111355.","DOI":"10.1016\/j.buildenv.2024.111355"},{"key":"e_1_3_3_1_78_2","doi-asserted-by":"crossref","unstructured":"Paige\u00a0Wenbin Tien Shuangyu Wei John\u00a0Kaiser Calautit Jo Darkwa and Christopher Wood. 2020. A vision-based deep learning approach for the detection and prediction of occupancy heat emissions for demand-driven control solutions. Energy and Buildings 226 (2020) 110386.","DOI":"10.1016\/j.enbuild.2020.110386"},{"key":"e_1_3_3_1_79_2","doi-asserted-by":"crossref","unstructured":"Roberto Verdecchia June Sallou and Lu\u00eds Cruz. 2023. A systematic review of Green AI. Wiley Interdiscip. Rev. Data Min. Knowl. Discov. 13 4 (July 2023).","DOI":"10.1002\/widm.1507"},{"key":"e_1_3_3_1_80_2","doi-asserted-by":"publisher","unstructured":"Pujin Wang Jianhui Hu and Wujun Chen. 2023. A Hybrid Machine Learning Model to Optimize Thermal Comfort and Carbon Emissions of Large-Space Public Buildings. Journal of Cleaner Production 400 (May 2023) 136538. 10.1016\/j.jclepro.2023.136538","DOI":"10.1016\/j.jclepro.2023.136538"},{"key":"e_1_3_3_1_81_2","doi-asserted-by":"publisher","unstructured":"Zeyu Wang and Ravi\u00a0S. Srinivasan. 2017. A Review of Artificial Intelligence Based Building Energy Use Prediction: Contrasting the Capabilities of Single and Ensemble Prediction Models. Renewable and Sustainable Energy Reviews 75 (Aug. 2017) 796\u2013808. 10.1016\/j.rser.2016.10.079","DOI":"10.1016\/j.rser.2016.10.079"},{"key":"e_1_3_3_1_82_2","doi-asserted-by":"crossref","unstructured":"Shuangyu Wei Paige\u00a0Wenbin Tien Tin\u00a0Wai Chow Yupeng Wu and John\u00a0Kaiser Calautit. 2022. Deep learning and computer vision based occupancy CO2 level prediction for demand-controlled ventilation (DCV). Journal of Building Engineering 56 (2022) 104715.","DOI":"10.1016\/j.jobe.2022.104715"},{"key":"e_1_3_3_1_83_2","doi-asserted-by":"publisher","DOI":"10.1145\/2493432.2493489"},{"key":"e_1_3_3_1_84_2","doi-asserted-by":"publisher","DOI":"10.1145\/3563657.3596058"},{"key":"e_1_3_3_1_85_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642013"},{"key":"e_1_3_3_1_86_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3641896"},{"key":"e_1_3_3_1_87_2","doi-asserted-by":"crossref","unstructured":"Woo-Seung Yun Won-Hwa Hong and Hyuncheol Seo. 2021. A data-driven fault detection and diagnosis scheme for air handling units in building HVAC systems considering undefined states. Journal of Building Engineering 35 (2021) 102111.","DOI":"10.1016\/j.jobe.2020.102111"},{"key":"e_1_3_3_1_88_2","doi-asserted-by":"crossref","unstructured":"Yong Zhou Lingyu Wang and Junhao Qian. 2022. Application of combined models based on empirical mode decomposition deep learning and autoregressive integrated moving average model for short-term heating load predictions. Sustainability 14 12 (2022) 7349.","DOI":"10.3390\/su14127349"}],"event":{"name":"CHI 2026: CHI Conference on Human Factors in Computing Systems","location":"Barcelona Spain","acronym":"CHI '26","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3772318.3791126","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T09:20:02Z","timestamp":1776417602000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3772318.3791126"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,13]]},"references-count":87,"alternative-id":["10.1145\/3772318.3791126","10.1145\/3772318"],"URL":"https:\/\/doi.org\/10.1145\/3772318.3791126","relation":{},"subject":[],"published":{"date-parts":[[2026,4,13]]},"assertion":[{"value":"2026-04-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}