{"id":"https://openalex.org/W7165367173","doi":"https://doi.org/10.1145/3765611.3815382","title":"Reinforcement Learning for Airport Thermo-Electrical Microgrid Energy Management with Constraint Enforcement","display_name":"Reinforcement Learning for Airport Thermo-Electrical Microgrid Energy Management with Constraint Enforcement","publication_year":2026,"publication_date":"2026-06-20","ids":{"openalex":"https://openalex.org/W7165367173","doi":"https://doi.org/10.1145/3765611.3815382"},"language":null,"primary_location":{"id":"doi:10.1145/3765611.3815382","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3765611.3815382","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 ACM Sustainability Week","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3765611.3815382","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013165688","display_name":"Pablo Verdugo","orcid":"https://orcid.org/0000-0002-4558-4797"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Pablo Verdugo Rivadeneira","raw_affiliation_strings":["University of Waterloo, Waterloo, Ontario, Canada"],"raw_orcid":"https://orcid.org/0000-0002-4558-4797","affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, Ontario, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000420621","display_name":"Mehrdad Pirnia","orcid":"https://orcid.org/0000-0002-9654-4365"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mehrdad Pirnia","raw_affiliation_strings":["University of Waterloo, Waterloo, Ontario, Canada"],"raw_orcid":"https://orcid.org/0000-0002-9654-4365","affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, Ontario, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023775699","display_name":"Claudio A. Ca\u00f1izares","orcid":"https://orcid.org/0000-0003-1458-2569"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Claudio A. Ca\u00f1izares","raw_affiliation_strings":["University of Waterloo, Waterloo, Ontario, Canada"],"raw_orcid":"https://orcid.org/0000-0003-1458-2569","affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, Ontario, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020392005","display_name":"Gonzalo E. Constante\u2010Flores","orcid":"https://orcid.org/0000-0002-9668-5889"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gonzalo E. Constante-Flores","raw_affiliation_strings":["University of Colorado Boulder, Boulder, USA"],"raw_orcid":"https://orcid.org/0000-0002-9668-5889","affiliations":[{"raw_affiliation_string":"University of Colorado Boulder, Boulder, USA","institution_ids":["https://openalex.org/I188538660"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.92348133,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"547","last_page":"548"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10223","display_name":"Microgrid Control and Optimization","score":0.2345000058412552,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T10223","display_name":"Microgrid Control and Optimization","score":0.2345000058412552,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T10424","display_name":"Electric Power System Optimization","score":0.21570000052452087,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.06539999693632126,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/energy-management","display_name":"Energy management","score":0.6013000011444092},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5609999895095825},{"id":"https://openalex.org/keywords/microgrid","display_name":"Microgrid","score":0.46709999442100525},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.44909998774528503},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4359000027179718},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.39489999413490295},{"id":"https://openalex.org/keywords/enforcement","display_name":"Enforcement","score":0.3375000059604645}],"concepts":[{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.6013000011444092},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5609999895095825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5109000205993652},{"id":"https://openalex.org/C2776784348","wikidata":"https://www.wikidata.org/wiki/Q5762595","display_name":"Microgrid","level":3,"score":0.46709999442100525},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.44909998774528503},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4359000027179718},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.39489999413490295},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.35109999775886536},{"id":"https://openalex.org/C2779777834","wikidata":"https://www.wikidata.org/wiki/Q4202277","display_name":"Enforcement","level":2,"score":0.3375000059604645},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.3158999979496002},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.31380000710487366},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C2781260460","wikidata":"https://www.wikidata.org/wiki/Q6139999","display_name":"Energy management system","level":4,"score":0.29109999537467957},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.2786000072956085},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C2779370713","wikidata":"https://www.wikidata.org/wiki/Q357554","display_name":"Load management","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3765611.3815382","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3765611.3815382","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 ACM Sustainability Week","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3765611.3815382","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3765611.3815382","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 ACM Sustainability Week","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7729716300964355}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W3196351275","https://openalex.org/W4323354598","https://openalex.org/W4404799568"],"related_works":[],"abstract_inverted_index":{"The":[0],"integration":[1],"of":[2,36,65],"Electric":[3],"Aircraft":[4],"(EA)":[5],"and":[6,30,50,77],"Renewable":[7],"Energy":[8,23],"Sources":[9],"(RESs)":[10],"in":[11],"airports":[12],"is":[13,72],"essential":[14],"to":[15,27,46,107],"achieving":[16],"net-zero":[17],"targets":[18],"by":[19],"2050,":[20],"requiring":[21],"advanced":[22],"Management":[24],"Systems":[25],"(EMSs)":[26],"coordinate":[28],"electrical":[29],"thermal":[31],"demands.":[32],"However,":[33],"the":[34,62,100],"design":[35],"EMSs":[37],"for":[38,61],"Thermo-Electrical":[39],"(TE)":[40],"Microgrids":[41],"(MGs)":[42],"remains":[43],"challenging":[44],"due":[45],"complex":[47],"system":[48],"dynamics":[49],"uncertainty.":[51],"This":[52],"poster":[53],"presents":[54],"a":[55,91,108],"physics-based":[56],"Reinforcement":[57],"Learning":[58],"(RL)":[59],"framework":[60],"energy":[63],"management":[64],"multi-zone":[66],"airport":[67,94],"MGs,":[68],"where":[69],"physical":[70],"feasibility":[71],"enforced":[73],"through":[74],"dynamic":[75],"constraints":[76],"inter-zone":[78],"heat":[79],"exchanges":[80],"are":[81],"modeled":[82],"using":[83],"an":[84],"implicit":[85],"formulation.":[86],"Simulation":[87],"results":[88],"based":[89],"on":[90],"real":[92],"Canadian":[93],"MG":[95],"under":[96],"deployment":[97],"demonstrate":[98],"that":[99],"proposed":[101],"approach":[102],"achieves":[103],"near-optimal":[104],"performance":[105],"compared":[106],"Model":[109],"Predictive":[110],"Control":[111],"(MPC)-based":[112],"benchmark.":[113]},"counts_by_year":[],"updated_date":"2026-06-21T06:12:48.119943","created_date":"2026-06-20T00:00:00"}