{"id":"https://openalex.org/W7164924019","doi":"https://doi.org/10.1145/3744255.3811730","title":"Deep Semi-Supervised Multi-Task Learning of Building Features for District Energy Demand Estimation","display_name":"Deep Semi-Supervised Multi-Task Learning of Building Features for District Energy Demand Estimation","publication_year":2026,"publication_date":"2026-06-16","ids":{"openalex":"https://openalex.org/W7164924019","doi":"https://doi.org/10.1145/3744255.3811730"},"language":null,"primary_location":{"id":"doi:10.1145/3744255.3811730","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3744255.3811730","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 17th ACM International Conference on Future and Sustainable Energy Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3744255.3811730","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021038608","display_name":"Hung Cheng","orcid":"https://orcid.org/0009-0005-0067-8019"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Haozhen Cheng","raw_affiliation_strings":["Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Karlsruhe, Germany"],"raw_orcid":"https://orcid.org/0009-0005-0067-8019","affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026206386","display_name":"J. Hoffmann","orcid":"https://orcid.org/0000-0002-2064-1257"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jan Hoffmann","raw_affiliation_strings":["Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Karlsruhe, Germany"],"raw_orcid":"https://orcid.org/0009-0004-4307-9991","affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072839884","display_name":"H\u00fcseyin \u00c7akmak","orcid":"https://orcid.org/0000-0002-1463-7606"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"H\u00fcseyin K. \u00c7akmak","raw_affiliation_strings":["Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Karlsruhe, Germany"],"raw_orcid":"https://orcid.org/0000-0002-1463-7606","affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014228448","display_name":"Veit Hagenmeyer","orcid":"https://orcid.org/0000-0002-3572-9083"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Veit Hagenmeyer","raw_affiliation_strings":["Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Karlsruhe, Germany"],"raw_orcid":"https://orcid.org/0000-0002-3572-9083","affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I102335020"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"193","last_page":"201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.21459999680519104,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.21459999680519104,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.1460999995470047,"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.10830000042915344,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/unavailability","display_name":"Unavailability","score":0.8585000038146973},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.670199990272522},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6146000027656555},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4586000144481659},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.44359999895095825},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4415999948978424},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.41190001368522644},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.3894999921321869},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.36820000410079956}],"concepts":[{"id":"https://openalex.org/C2780505938","wikidata":"https://www.wikidata.org/wiki/Q17093282","display_name":"Unavailability","level":2,"score":0.8585000038146973},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.670199990272522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6172000169754028},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6146000027656555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4959999918937683},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4586000144481659},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4512999951839447},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.44359999895095825},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4415999948978424},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.41190001368522644},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.3894999921321869},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.36820000410079956},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35760000348091125},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.33970001339912415},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.3230000138282776},{"id":"https://openalex.org/C2776390805","wikidata":"https://www.wikidata.org/wiki/Q7258035","display_name":"Public use","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C2983177510","wikidata":"https://www.wikidata.org/wiki/Q1853339","display_name":"Energy demand","level":2,"score":0.31700000166893005},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3163999915122986},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C160331591","wikidata":"https://www.wikidata.org/wiki/Q7075743","display_name":"Occupancy","level":2,"score":0.2700999975204468},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C154775046","wikidata":"https://www.wikidata.org/wiki/Q188","display_name":"German","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.260699987411499}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3744255.3811730","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3744255.3811730","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 17th ACM International Conference on Future and Sustainable Energy Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3744255.3811730","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3744255.3811730","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 17th ACM International Conference on Future and Sustainable Energy Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2296719434","https://openalex.org/W2795857608","https://openalex.org/W2889239916","https://openalex.org/W2963446712","https://openalex.org/W3035682985","https://openalex.org/W3109336491","https://openalex.org/W3120672661","https://openalex.org/W3138516171","https://openalex.org/W3162387028","https://openalex.org/W3197264024","https://openalex.org/W4205970206","https://openalex.org/W4221139951","https://openalex.org/W4281720633","https://openalex.org/W4287322212","https://openalex.org/W4312443924","https://openalex.org/W4316660916","https://openalex.org/W4323660215","https://openalex.org/W4376256311","https://openalex.org/W4377018026","https://openalex.org/W4389794452","https://openalex.org/W4391692350","https://openalex.org/W4391926652","https://openalex.org/W4392628817","https://openalex.org/W4401387266","https://openalex.org/W4404506775","https://openalex.org/W4407942908","https://openalex.org/W4408795126","https://openalex.org/W4409796653","https://openalex.org/W6969465521"],"related_works":[],"abstract_inverted_index":{"Building":[0],"energy":[1,14,51],"demand":[2],"is":[3,24,77,89],"a":[4,38],"primary":[5],"driver":[6],"of":[7,30],"greenhouse":[8],"gas":[9],"emissions,":[10],"necessitating":[11],"accurate,":[12],"sector-coupled":[13],"system":[15],"analysis":[16],"via":[17],"co-simulation.":[18],"However,":[19],"parameterizing":[20],"white-box":[21],"building":[22,47,82],"models":[23],"frequently":[25],"hindered":[26],"by":[27,120],"the":[28,108],"unavailability":[29],"essential":[31],"features":[32],"in":[33],"public":[34],"databases.":[35],"We":[36],"present":[37],"method":[39],"to":[40,101,113],"estimate":[41],"missing":[42],"attributes\u2014specifically":[43],"construction":[44],"year":[45],"(CY),":[46],"type":[48],"(BT),":[49],"and":[50,76,95],"carrier":[52],"(EC)\u2014using":[53],"street-level":[54],"imagery":[55],"(SLI)":[56],"across":[57],"Germany":[58],"as":[59],"an":[60],"exemplary":[61],"use":[62],"case.":[63],"Our":[64],"automated":[65],"workflow":[66],"integrates":[67],"SLI":[68],"with":[69,97],"2022":[70],"German":[71],"Census":[72],"data":[73,121],"for":[74],"labeling":[75],"validated":[78],"against":[79],"OpenStreetMap":[80],"(OSM)":[81],"geometries.":[83],"A":[84],"single":[85],"deep":[86],"learning":[87,93,99],"model":[88],"developed":[90],"using":[91],"multi-task":[92],"(MTL)":[94],"combined":[96],"semi-supervised":[98],"(SSL)":[100],"effectively":[102],"leverage":[103],"partially":[104],"labeled":[105],"datasets.":[106],"While":[107],"results":[109],"demonstrate":[110],"strong":[111],"generalization":[112],"unseen":[114],"test":[115],"data,":[116],"performance":[117],"remains":[118],"constrained":[119],"quality":[122],"issues":[123],"that":[124],"impact":[125],"full":[126],"automation.":[127]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-06-17T00:00:00"}
