{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T06:24:25Z","timestamp":1761891865656,"version":"build-2065373602"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032030979","type":"print"},{"value":"9783032030986","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-03098-6_11","type":"book-chapter","created":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T04:31:24Z","timestamp":1761885084000},"page":"154-169","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Data-Driven Optimal Air-Balancing Control for\u00a0Multizone Ventilation Systems with\u00a0Design-to-Operation Adaptation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-8904-1938","authenticated-orcid":false,"given":"Shanrui","family":"Shi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0099-8857","authenticated-orcid":false,"given":"Shohei","family":"Miyata","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8839-9834","authenticated-orcid":false,"given":"Yasunori","family":"Akashi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,11,1]]},"reference":[{"key":"11_CR1","unstructured":"FMPY. URL: https:\/\/github.com\/CATIA-Systems\/FMPy"},{"key":"11_CR2","unstructured":"ASHRAE\u00a0Atlanta, G.: ANSI\/ASHRAE standard 62.1-2010, ventilation and acceptable indoor air quality. American Society of Heating, Refrigerating, and Air-Conditioning Engineers, Inc (2010)"},{"key":"11_CR3","unstructured":"ASHRAE\u00a0Atlanta, G.: ANSI\/ASHRAE\/IES standard 90.1-2010, energy standard for buildings except low-rise residential buildings. American Society of Heating, Refrigerating, and Air-Conditioning Engineers, Inc (2010)"},{"key":"11_CR4","doi-asserted-by":"publisher","first-page":"1426","DOI":"10.1016\/j.rser.2016.01.074","volume":"59","author":"B Chenari","year":"2016","unstructured":"Chenari, B., Carrilho, J.D., Da Silva, M.G.: Towards sustainable, energy-efficient and healthy ventilation strategies in buildings: a review. Renew. Sustain. Energy Rev. 59, 1426\u20131447 (2016)","journal-title":"Renew. Sustain. Energy Rev."},{"key":"11_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2021.122146","volume":"239","author":"F Cheng","year":"2022","unstructured":"Cheng, F., Cui, C., Cai, W., Zhang, X., Ge, Y., Li, B.: A novel data-driven air balancing method with energy-saving constraint strategy to minimize the energy consumption of ventilation system. Energy 239, 122146 (2022)","journal-title":"Energy"},{"key":"11_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2020.114734","volume":"264","author":"C Cui","year":"2020","unstructured":"Cui, C., Zhang, X., Cai, W.: An energy-saving oriented air balancing method for demand controlled ventilation systems with branch and black-box model. Appl. Energy 264, 114734 (2020)","journal-title":"Appl. Energy"},{"key":"11_CR7","doi-asserted-by":"crossref","unstructured":"Farooq, M.U., Ahmad, A., Hameed, A.: Opposition-based initialization and a modified pattern for inertia weight (IW) in PSO. In: 2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA), pp. 96\u2013101. IEEE (2017)","DOI":"10.1109\/INISTA.2017.8001139"},{"key":"11_CR8","unstructured":"Guideline, A.: Guideline 36-2024. high-performance sequences of operation for HVAC systems. American Society of Heating, Refrigerating, and Air-Conditioning Engineers, Inc (2024)"},{"key":"11_CR9","unstructured":"Haykin, S.: Neural Networks: A Comprehensive Foundation. Prentice Hall PTR (1994)"},{"key":"11_CR10","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1016\/j.buildenv.2018.07.037","volume":"143","author":"G Jing","year":"2018","unstructured":"Jing, G., Cai, W., Chen, H., Zhai, D., Cui, C., Yin, X.: An air balancing method using support vector machine for a ventilation system. Build. Environ. 143, 487\u2013495 (2018)","journal-title":"Build. Environ."},{"key":"11_CR11","doi-asserted-by":"publisher","first-page":"506","DOI":"10.1016\/j.enbuild.2018.06.044","volume":"174","author":"G Jing","year":"2018","unstructured":"Jing, G., Cai, W., Zhai, D., Liu, S., Cui, C.: A model-based air balancing method of a ventilation system. Energy Build. 174, 506\u2013512 (2018)","journal-title":"Energy Build."},{"key":"11_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2020.117328","volume":"199","author":"G Jing","year":"2020","unstructured":"Jing, G., Cai, W., Zhang, X., Cui, C., Liu, H., Wang, C.: An energy-saving control strategy for multi-zone demand controlled ventilation system with data-driven model and air balancing control. Energy 199, 117328 (2020)","journal-title":"Energy"},{"key":"11_CR13","doi-asserted-by":"publisher","first-page":"1053","DOI":"10.1016\/j.energy.2019.02.044","volume":"172","author":"G Jing","year":"2019","unstructured":"Jing, G., Cai, W., Zhang, X., Cui, C., Yin, X., Xian, H.: An energy-saving oriented air balancing strategy for multi-zone demand-controlled ventilation system. Energy 172, 1053\u20131065 (2019)","journal-title":"Energy"},{"key":"11_CR14","doi-asserted-by":"publisher","first-page":"574","DOI":"10.1016\/j.apenergy.2018.12.026","volume":"236","author":"G Jing","year":"2019","unstructured":"Jing, G., Cai, W., Zhang, X., Cui, C., Yin, X., Xian, H.: Modeling, air balancing and optimal pressure set-point selection for the ventilation system with minimized energy consumption. Appl. Energy 236, 574\u2013589 (2019)","journal-title":"Appl. Energy"},{"key":"11_CR15","doi-asserted-by":"crossref","unstructured":"Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of ICNN\u201995-International Conference on Neural Networks, vol.\u00a04, pp. 1942\u20131948. IEEE (1995)","DOI":"10.1109\/ICNN.1995.488968"},{"key":"11_CR16","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)"},{"key":"11_CR17","unstructured":"Li, B.: Advanced demand-controlled ventilation strategies for ACMV systems (2022)"},{"key":"11_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.buildenv.2023.111115","volume":"248","author":"L Li","year":"2024","unstructured":"Li, L., Bao, R., Cai, H., Zhang, X., Yin, Z.: A novel air balancing method based on an improved perceptron under multiple constraints for the energy conservation of ventilation system. Build. Environ. 248, 111115 (2024)","journal-title":"Build. Environ."},{"key":"11_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.buildenv.2022.109116","volume":"218","author":"X Lu","year":"2022","unstructured":"Lu, X., Pang, Z., Fu, Y., O\u2019Neill, Z.: The nexus of the indoor co2 concentration and ventilation demands underlying co2-based demand-controlled ventilation in commercial buildings: a critical review. Build. Environ. 218, 109116 (2022)","journal-title":"Build. Environ."},{"issue":"6690","key":"11_CR20","doi-asserted-by":"publisher","first-page":"1418","DOI":"10.1126\/science.adl0677","volume":"383","author":"L Morawska","year":"2024","unstructured":"Morawska, L., Allen, J., Bahnfleth, W., Bennett, B., Bluyssen, P.M., Boerstra, A., Buonanno, G., Cao, J., Dancer, S.J., Floto, A., et al.: Mandating indoor air quality for public buildings. Science 383(6690), 1418\u20131420 (2024)","journal-title":"Science"},{"key":"11_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.jobe.2024.109112","volume":"87","author":"A Nomura","year":"2024","unstructured":"Nomura, A., Shi, S., Miyata, S., Akashi, Y., Momota, M., Sawachi, T.: Design-operation gap caused by parameter variance in HVAC system control sequences: a simulation-based study on energy efficiency and temperature controllability. J. Build. Eng. 87, 109112 (2024)","journal-title":"J. Build. Eng."},{"key":"11_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.adapen.2022.100084","volume":"5","author":"G Pinto","year":"2022","unstructured":"Pinto, G., Wang, Z., Roy, A., Hong, T., Capozzoli, A.: Transfer learning for smart buildings: a critical review of algorithms, applications, and future perspectives. Adv. Appl. Energ. 5, 100084 (2022)","journal-title":"Adv. Appl. Energ."},{"key":"11_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2024.124683","volume":"377","author":"S Shi","year":"2025","unstructured":"Shi, S., Miyata, S., Akashi, Y.: Event-driven model-based optimal demand-controlled ventilation for multizone vav systems: enhancing energy efficiency and indoor environmental quality. Appl. Energy 377, 124683 (2025)","journal-title":"Appl. Energy"},{"key":"11_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.buildenv.2024.111464","volume":"256","author":"S Shi","year":"2024","unstructured":"Shi, S., Miyata, S., Akashi, Y., Momota, M., Sawachi, T., Gao, Y.: Model-based optimal control strategy for multizone vav air-conditioning systems for neutralizing room pressure and minimizing fan energy consumption. Build. Environ. 256, 111464 (2024)","journal-title":"Build. Environ."},{"issue":"4","key":"11_CR25","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1080\/19401493.2013.765506","volume":"7","author":"M Wetter","year":"2014","unstructured":"Wetter, M., Zuo, W., Nouidui, T.S., Pang, X.: Modelica buildings library. J. Build. Perform. Simul. 7(4), 253\u2013270 (2014)","journal-title":"J. Build. Perform. Simul."}],"container-title":["Lecture Notes in Computer Science","Energy Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-03098-6_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T04:31:26Z","timestamp":1761885086000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-03098-6_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,1]]},"ISBN":["9783032030979","9783032030986"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-03098-6_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,1]]},"assertion":[{"value":"1 November 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EIA Nordic","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nordic Energy Informatics Academy Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Stockholm","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sweden","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 August 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 August 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"nordic eia2025a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.nordicenergyinformatics.academy\/2025eianordic","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}