{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T10:52:50Z","timestamp":1781952770171,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":7,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,6,22]]},"DOI":"10.1145\/3765611.3815364","type":"proceedings-article","created":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T09:39:33Z","timestamp":1781948373000},"page":"404-407","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Exploring the Potential of Physics-Informed Neural Networks for Building Energy Modeling with Component-Level Calibration"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-4573-7327","authenticated-orcid":false,"given":"Yilin","family":"Cai","sequence":"first","affiliation":[{"name":"Texas A&amp;M University, College Station, Texas, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4610-1539","authenticated-orcid":false,"given":"Ashrant","family":"Aryal","sequence":"additional","affiliation":[{"name":"Department of Construction Science, Texas A&amp;M University, College Station, Texas, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,6,22]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"crossref","unstructured":"Jianli Chen et\u00a0al. 2019. A meta-model-based optimization approach for fast and reliable calibration of building energy models. Energy 188 (2019) 116046.","DOI":"10.1016\/j.energy.2019.116046"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"crossref","unstructured":"Yongbao Chen et\u00a0al. 2023. Physics-informed neural networks for building thermal modeling and demand response control. Building and Environment 234 (2023) 110149.","DOI":"10.1016\/j.buildenv.2023.110149"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"crossref","unstructured":"Danlin Hou I.\u00a0G. Hassan and L. Wang. 2021. Review on building energy model calibration by Bayesian inference. Renewable and Sustainable Energy Reviews 143 (2021) 110930.","DOI":"10.1016\/j.rser.2021.110930"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"crossref","unstructured":"Zixin Jiang and Bing Dong. 2024. Modularized neural network incorporating physical priors for future building energy modeling. Patterns 5 (2024) 8.","DOI":"10.1016\/j.patter.2024.101029"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"crossref","unstructured":"Xiwang Li and Jin Wen. 2014. Review of building energy modeling for control and operation. Renewable and Sustainable Energy Reviews 37 (2014) 517\u2013537.","DOI":"10.1016\/j.rser.2014.05.056"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"crossref","unstructured":"Sandra Mart\u00ednez et\u00a0al. 2020. A performance comparison of multi-objective optimization-based approaches for calibrating white-box building energy models. Energy and Buildings 216 (2020) 109942.","DOI":"10.1016\/j.enbuild.2020.109942"},{"key":"e_1_3_3_1_8_2","unstructured":"U.S. Department of Energy. n. d.. About the Building Technologies Office. [Online]. Available: https:\/\/www.energy.gov\/cmei\/buildings\/data-and-analysis-buildings-sector-innovation."}],"event":{"name":"ACM Sustainability Week '26: ACM Sustainability Week 2026","location":"Banff , Alberta , Canada","acronym":"ACM Sustainability Week '26","sponsor":["SIGENERGY ACM Special Interest Group on Energy Systems and Informatics"]},"container-title":["Proceedings of the 2026 ACM Sustainability Week"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3765611.3815364","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T10:44:24Z","timestamp":1781952264000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3765611.3815364"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,22]]},"references-count":7,"alternative-id":["10.1145\/3765611.3815364","10.1145\/3765611"],"URL":"https:\/\/doi.org\/10.1145\/3765611.3815364","relation":{},"subject":[],"published":{"date-parts":[[2026,6,22]]},"assertion":[{"value":"2026-06-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}