{"id":"https://openalex.org/W4416132567","doi":"https://doi.org/10.1145/3736425.3772192","title":"PhD Forum Abstract: BESTOpt: A Physics-Informed Machine Learning Based Building Simulation, Control and Optimization Platform","display_name":"PhD Forum Abstract: BESTOpt: A Physics-Informed Machine Learning Based Building Simulation, Control and Optimization Platform","publication_year":2025,"publication_date":"2025-11-11","ids":{"openalex":"https://openalex.org/W4416132567","doi":"https://doi.org/10.1145/3736425.3772192"},"language":null,"primary_location":{"id":"doi:10.1145/3736425.3772192","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3736425.3772192","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3736425.3772192","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3736425.3772192","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010885675","display_name":"Zixin Jiang","orcid":"https://orcid.org/0009-0002-7824-6062"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zixin Jiang","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, Syracuse University, Syracuse, New York, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, Syracuse University, Syracuse, New York, USA","institution_ids":["https://openalex.org/I70983195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5010885675"],"corresponding_institution_ids":["https://openalex.org/I70983195"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37763749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"344","last_page":"346"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.319599986076355,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.319599986076355,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.28459998965263367,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.03909999877214432,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.7026000022888184},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.6793000102043152},{"id":"https://openalex.org/keywords/hvac","display_name":"HVAC","score":0.6229000091552734},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6201000213623047},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5626000165939331},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5138000249862671},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4749999940395355}],"concepts":[{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.7026000022888184},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6852999925613403},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.6793000102043152},{"id":"https://openalex.org/C122346748","wikidata":"https://www.wikidata.org/wiki/Q1798773","display_name":"HVAC","level":3,"score":0.6229000091552734},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6201000213623047},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5626000165939331},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5138000249862671},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4749999940395355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43130001425743103},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.41260001063346863},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40290001034736633},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.2994999885559082},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2928999960422516},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2865999937057495},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C34585555","wikidata":"https://www.wikidata.org/wiki/Q1368723","display_name":"Learning curve","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.2572000026702881},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.25699999928474426}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3736425.3772192","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3736425.3772192","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3736425.3772192","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3736425.3772192","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3736425.3772192","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3736425.3772192","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416132567.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3],"modular":[4],"Physics-Informed":[5],"Machine":[6],"Learning":[7],"(PIML)":[8],"framework":[9,46,68],"for":[10,33],"scalable":[11],"building":[12,18],"simulation":[13],"and":[14,26,36,51,74,89],"control":[15],"optimization,":[16],"integrating":[17],"dynamics,":[19],"HVAC":[20,87],"systems,":[21],"distributed":[22],"energy":[23],"resources":[24],"(DERs),":[25],"grid":[27],"operation.":[28],"Motivated":[29],"by":[30],"the":[31,45],"need":[32],"flexible,":[34],"adaptive,":[35],"physically":[37],"consistent":[38],"models":[39],"to":[40],"support":[41],"future":[42],"agentic-enabled":[43],"buildings,":[44],"enables":[47],"end-to-end":[48],"simulation,":[49],"benchmarking,":[50],"optimization.":[52],"Unlike":[53],"traditional":[54],"approaches":[55],"that":[56],"are":[57],"either":[58],"unscalable":[59],"(physics-based)":[60],"or":[61],"lack":[62],"physical":[63],"guarantees":[64],"(purely":[65],"data-driven),":[66],"our":[67],"generalizes":[69],"well":[70],"under":[71],"unseen":[72],"conditions":[73],"has":[75],"been":[76],"validated":[77],"through":[78],"real-world":[79],"reinforcement":[80],"learning":[81],"experiments.":[82],"Recent":[83],"extensions":[84],"incorporating":[85],"detailed":[86],"dynamics":[88],"DER":[90],"modules":[91],"further":[92],"demonstrate":[93],"strong":[94],"flexibility":[95],"potential.":[96]},"counts_by_year":[],"updated_date":"2026-03-11T06:11:40.159057","created_date":"2025-11-11T00:00:00"}
