{"id":"https://openalex.org/W2901919386","doi":"https://doi.org/10.1109/igarss.2018.8517624","title":"Automated Building Energy Consumption Estimation from Aerial Imagery","display_name":"Automated Building Energy Consumption Estimation from Aerial Imagery","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2901919386","doi":"https://doi.org/10.1109/igarss.2018.8517624","mag":"2901919386"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8517624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8517624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002810288","display_name":"Artem Streltsov","orcid":null},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]},{"id":"https://openalex.org/I36194607","display_name":"Duke Energy (United States)","ror":"https://ror.org/030r69d22","country_code":"US","type":"company","lineage":["https://openalex.org/I36194607"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Artem Streltsov","raw_affiliation_strings":["Energy Initiative, Duke University, Durham, NC, 27708","Energy Initiative, Duke University, Durham, NC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Energy Initiative, Duke University, Durham, NC, 27708","institution_ids":["https://openalex.org/I36194607","https://openalex.org/I170897317"]},{"raw_affiliation_string":"Energy Initiative, Duke University, Durham, NC","institution_ids":["https://openalex.org/I36194607","https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054438743","display_name":"Kyle Bradbury","orcid":"https://orcid.org/0000-0001-9847-0243"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]},{"id":"https://openalex.org/I36194607","display_name":"Duke Energy (United States)","ror":"https://ror.org/030r69d22","country_code":"US","type":"company","lineage":["https://openalex.org/I36194607"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyle Bradbury","raw_affiliation_strings":["Energy Initiative, Duke University, Durham, NC, 27708","Energy Initiative, Duke University, Durham, NC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Energy Initiative, Duke University, Durham, NC, 27708","institution_ids":["https://openalex.org/I36194607","https://openalex.org/I170897317"]},{"raw_affiliation_string":"Energy Initiative, Duke University, Durham, NC","institution_ids":["https://openalex.org/I36194607","https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007239332","display_name":"Jordan M. Malof","orcid":"https://orcid.org/0000-0002-7851-4920"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jordan Malof","raw_affiliation_strings":["Department of Electrical &#x0026; Computer Engineering, Duke University, Durham, NC, 27708","Department of Electrical & Computer Engineering, Duke University, Durham, NC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical &#x0026; Computer Engineering, Duke University, Durham, NC, 27708","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Department of Electrical & Computer Engineering, Duke University, Durham, NC","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2834,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61229008,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1676","last_page":"1679"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11963","display_name":"Impact of Light on Environment and Health","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T11963","display_name":"Impact of Light on Environment and Health","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9894000291824341,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6510908007621765},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6064401865005493},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5818512439727783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5299884676933289},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.5111973881721497},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4917655289173126},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.47293710708618164},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4692779779434204},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4561951756477356},{"id":"https://openalex.org/keywords/predictive-value","display_name":"Predictive value","score":0.45549046993255615},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4504384696483612},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.44604647159576416},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36084794998168945},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3204609155654907},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30326753854751587},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23148629069328308},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21839383244514465},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.193101167678833},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14228391647338867}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6510908007621765},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6064401865005493},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5818512439727783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5299884676933289},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.5111973881721497},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4917655289173126},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.47293710708618164},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4692779779434204},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4561951756477356},{"id":"https://openalex.org/C3019719930","wikidata":"https://www.wikidata.org/wiki/Q3910099","display_name":"Predictive value","level":2,"score":0.45549046993255615},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4504384696483612},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.44604647159576416},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36084794998168945},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3204609155654907},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30326753854751587},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23148629069328308},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21839383244514465},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.193101167678833},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14228391647338867},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2018.8517624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8517624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9100000262260437}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1980091084","https://openalex.org/W2195875293","https://openalex.org/W2515244244","https://openalex.org/W2782784141","https://openalex.org/W4302193178","https://openalex.org/W6747412636"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2778153218","https://openalex.org/W1531601525","https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391266461"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,57],"methodology":[4],"for":[5,117],"automatically":[6],"estimating":[7],"the":[8,25,88,96,107,118],"energy":[9,46,119],"consumption":[10,47,120],"of":[11,64,73,90,111,121],"buildings":[12,23],"from":[13,18,34],"aerial":[14],"imagery":[15,26],"using":[16,27,48],"data":[17],"Gainesville,":[19],"Florida.":[20],"By":[21],"detecting":[22],"in":[24,95],"convolutional":[28],"neural":[29],"networks":[30],"and":[31,66,109],"extracting":[32],"features":[33,42],"those":[35],"building":[36,45,97],"annotations,":[37],"we":[38,55],"use":[39],"only":[40],"imagery-derived":[41],"to":[43,83,93,106],"estimate":[44],"random":[49],"forests":[50],"regression.":[51],"For":[52],"individual":[53],"buildings,":[54,112],"achieve":[56],"predictive":[58,76,115],"R":[59,77],"<sup":[60,78],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[61,79],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[62,80],"value":[63,81],"0.26,":[65],"with":[67],"spatial":[68],"aggregation":[69],"over":[70],"an":[71],"area":[72],"400m\u00d7400m":[74],"our":[75],"increases":[82],"0.95.":[84],"We":[85],"also":[86],"explore":[87],"sensitivity":[89],"these":[91],"estimates":[92],"errors":[94],"estimation":[98],"process.":[99],"Our":[100],"results":[101],"indicate":[102],"that":[103],"information":[104],"limited":[105],"size":[108],"shape":[110],"provides":[113],"substantial":[114],"potential":[116],"buildings.":[122]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
