{"id":"https://openalex.org/W3217277542","doi":"https://doi.org/10.1145/3486611.3491127","title":"Toward explainable and interpretable building energy modelling","display_name":"Toward explainable and interpretable building energy modelling","publication_year":2021,"publication_date":"2021-11-17","ids":{"openalex":"https://openalex.org/W3217277542","doi":"https://doi.org/10.1145/3486611.3491127","mag":"3217277542"},"language":"en","primary_location":{"id":"doi:10.1145/3486611.3491127","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3486611.3491127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Toward_explainable_and_interpretable_building_energy_modelling_an_explainable_artificial_intelligence_approach/27102508","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070697660","display_name":"Wei Emma Zhang","orcid":"https://orcid.org/0000-0002-0406-5974"},"institutions":[{"id":"https://openalex.org/I168639165","display_name":"Singapore Institute of Technology","ror":"https://ror.org/01v2c2791","country_code":"SG","type":"education","lineage":["https://openalex.org/I168639165"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Singapore Institute of Technology, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Institute of Technology, Singapore","institution_ids":["https://openalex.org/I168639165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453045","display_name":"Fang Liu","orcid":"https://orcid.org/0000-0002-1780-1723"},"institutions":[{"id":"https://openalex.org/I8696757","display_name":"Singapore University of Social Sciences","ror":"https://ror.org/01s57k749","country_code":"SG","type":"education","lineage":["https://openalex.org/I8696757"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Fang Liu","raw_affiliation_strings":["Singapore University of Social Sciences, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore University of Social Sciences, Singapore","institution_ids":["https://openalex.org/I8696757"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041572550","display_name":"Yonggang Wen","orcid":"https://orcid.org/0000-0002-2751-5114"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yonggang Wen","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052036840","display_name":"Bernard Seng Soon Nee","orcid":null},"institutions":[{"id":"https://openalex.org/I168639165","display_name":"Singapore Institute of Technology","ror":"https://ror.org/01v2c2791","country_code":"SG","type":"education","lineage":["https://openalex.org/I168639165"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bernard Nee","raw_affiliation_strings":["Singapore Institute of Technology, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Institute of Technology, Singapore","institution_ids":["https://openalex.org/I168639165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"255","last_page":"258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9991000294685364,"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/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9983999729156494,"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/T11954","display_name":"Energy Efficiency and Management","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.9224052429199219},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.73837810754776},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.6988250613212585},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6280697584152222},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5920800566673279},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.5416513085365295},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5377761125564575},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.5337883830070496},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5005519390106201},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4348814785480499},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.43437087535858154},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.35338136553764343},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34800654649734497}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9224052429199219},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.73837810754776},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.6988250613212585},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6280697584152222},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5920800566673279},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.5416513085365295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5377761125564575},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.5337883830070496},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5005519390106201},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4348814785480499},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.43437087535858154},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.35338136553764343},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34800654649734497},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3486611.3491127","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3486611.3491127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"},{"id":"pmh:oai:figshare.com:article/27102508","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Toward_explainable_and_interpretable_building_energy_modelling_an_explainable_artificial_intelligence_approach/27102508","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/27102508","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Toward_explainable_and_interpretable_building_energy_modelling_an_explainable_artificial_intelligence_approach/27102508","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8899999856948853,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2892262816","https://openalex.org/W2960959326","https://openalex.org/W2982435754","https://openalex.org/W3000206877","https://openalex.org/W3043193240","https://openalex.org/W3080957353","https://openalex.org/W3092110232","https://openalex.org/W3112234341","https://openalex.org/W3168709360"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4312407344","https://openalex.org/W4384115502","https://openalex.org/W4367145462","https://openalex.org/W1006933851","https://openalex.org/W2062873010"],"abstract_inverted_index":{"Building":[0],"energy":[1,11,43,64,154,162],"modelling":[2],"is":[3,118,123],"essential":[4],"for":[5],"the":[6,18,26,31,39,50,62,76,102,109,114,121,148,158],"operation":[7,149],"and":[8,36,59,74,84,105,126,129,139,150,156],"optimization":[9,151],"of":[10,33,78,108,152,161],"systems.":[12],"Existing":[13],"efforts":[14],"have":[15,45],"focused":[16],"on":[17,165],"model":[19],"fidelity,":[20],"which":[21],"however":[22],"should":[23],"not":[24,46],"be":[25],"only":[27],"concern.":[28],"Due":[29],"to":[30,72,100,133],"lack":[32],"adequate":[34],"understanding":[35],"trust":[37],"in":[38,49],"model,":[40],"many":[41],"accurate":[42,125],"models":[44],"been":[47],"deployed":[48],"real":[51],"world.":[52],"In":[53],"this":[54],"article,":[55],"we":[56],"introduce":[57],"explainability":[58],"interpretability":[60],"into":[61],"building":[63,153],"model.":[65,110],"We":[66,94,111],"first":[67],"use":[68,96],"partial":[69],"dependence":[70],"plots":[71],"explain":[73],"quantify":[75],"importance":[77,87],"features":[79],"at":[80],"a":[81,97],"fine-grained":[82],"level":[83],"reveal":[85],"different":[86,91],"change":[88],"patterns":[89],"with":[90,137,142],"feature":[92],"values.":[93],"also":[95],"surrogate-based":[98],"approach":[99],"interpret":[101],"internal":[103],"mechanism":[104,116],"decision-making":[106],"process":[107],"show":[112],"that":[113],"local":[115],"interpretation":[117,130],"feasible":[119],"when":[120],"surrogate":[122],"both":[124],"explainable.":[127],"Explanation":[128],"are":[131],"visualized,":[132],"provide":[134],"system":[135],"users":[136],"intuitive":[138],"informative":[140],"insights":[141],"multi-disciplinary":[143],"discussions.":[144],"Our":[145],"research":[146],"promotes":[147],"systems":[155,163],"supports":[157],"widespread":[159],"adoption":[160],"based":[164],"machine":[166],"learning.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
