{"id":"https://openalex.org/W2984703606","doi":"https://doi.org/10.1109/mlsp.2019.8918698","title":"Collaborative Inference Of Missing Smart Electric Meter Data For A Building","display_name":"Collaborative Inference Of Missing Smart Electric Meter Data For A Building","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2984703606","doi":"https://doi.org/10.1109/mlsp.2019.8918698","mag":"2984703606"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp.2019.8918698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2019.8918698","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.osti.gov/biblio/1570808","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045990469","display_name":"Nan Duan","orcid":"https://orcid.org/0000-0002-3241-0907"},"institutions":[{"id":"https://openalex.org/I1282311441","display_name":"Lawrence Livermore National Laboratory","ror":"https://ror.org/041nk4h53","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282311441","https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210138311"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nan Duan","raw_affiliation_strings":["Computational Engineering Division Lawrence Livermore National Laboratory, Livermore, California, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Engineering Division Lawrence Livermore National Laboratory, Livermore, California, USA","institution_ids":["https://openalex.org/I1282311441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035116027","display_name":"Jos\u00e9 Cadena","orcid":"https://orcid.org/0000-0002-6161-7480"},"institutions":[{"id":"https://openalex.org/I1282311441","display_name":"Lawrence Livermore National Laboratory","ror":"https://ror.org/041nk4h53","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282311441","https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210138311"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jose Cadena","raw_affiliation_strings":["Computational Engineering Division Lawrence Livermore National Laboratory, Livermore, California, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Engineering Division Lawrence Livermore National Laboratory, Livermore, California, USA","institution_ids":["https://openalex.org/I1282311441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076350911","display_name":"Pedro Sotorrio","orcid":null},"institutions":[{"id":"https://openalex.org/I1282311441","display_name":"Lawrence Livermore National Laboratory","ror":"https://ror.org/041nk4h53","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282311441","https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210138311"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pedro Sotorrio","raw_affiliation_strings":["Computational Engineering Division Lawrence Livermore National Laboratory, Livermore, California, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Engineering Division Lawrence Livermore National Laboratory, Livermore, California, USA","institution_ids":["https://openalex.org/I1282311441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112398876","display_name":"Jhi\u2010Young Joo","orcid":"https://orcid.org/0009-0008-5989-843X"},"institutions":[{"id":"https://openalex.org/I1282311441","display_name":"Lawrence Livermore National Laboratory","ror":"https://ror.org/041nk4h53","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282311441","https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210138311"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jhi-Young Joo","raw_affiliation_strings":["Computational Engineering Division Lawrence Livermore National Laboratory, Livermore, California, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Engineering Division Lawrence Livermore National Laboratory, Livermore, California, USA","institution_ids":["https://openalex.org/I1282311441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1282311441"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9991999864578247,"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":0.9991999864578247,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9947999715805054,"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/T10632","display_name":"Housing Market and Economics","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/smart-meter","display_name":"Smart meter","score":0.7975038290023804},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.7201972603797913},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.6942283511161804},{"id":"https://openalex.org/keywords/metre","display_name":"Metre","score":0.6265273094177246},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.623414933681488},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.5468329191207886},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.541124701499939},{"id":"https://openalex.org/keywords/electricity-meter","display_name":"Electricity meter","score":0.4941881000995636},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.43562671542167664},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4057375192642212},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.28685176372528076},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2593565583229065},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.2494165301322937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19529712200164795},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14509367942810059},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11094430088996887},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.09122374653816223},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.08246681094169617}],"concepts":[{"id":"https://openalex.org/C2779510800","wikidata":"https://www.wikidata.org/wiki/Q1630602","display_name":"Smart meter","level":3,"score":0.7975038290023804},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.7201972603797913},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.6942283511161804},{"id":"https://openalex.org/C151011524","wikidata":"https://www.wikidata.org/wiki/Q11573","display_name":"Metre","level":2,"score":0.6265273094177246},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.623414933681488},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5468329191207886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.541124701499939},{"id":"https://openalex.org/C67172668","wikidata":"https://www.wikidata.org/wiki/Q622756","display_name":"Electricity meter","level":3,"score":0.4941881000995636},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.43562671542167664},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4057375192642212},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.28685176372528076},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2593565583229065},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.2494165301322937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19529712200164795},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14509367942810059},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11094430088996887},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.09122374653816223},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.08246681094169617},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mlsp.2019.8918698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2019.8918698","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:osti.gov:1570808","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1570808","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:osti.gov:1570808","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1570808","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1965026065","https://openalex.org/W1991277158","https://openalex.org/W1992101599","https://openalex.org/W2051607409","https://openalex.org/W2069508080","https://openalex.org/W2175143722","https://openalex.org/W2313953460","https://openalex.org/W6641678419"],"related_works":["https://openalex.org/W2369722944","https://openalex.org/W2275095144","https://openalex.org/W2353278756","https://openalex.org/W3023080387","https://openalex.org/W1983193880","https://openalex.org/W2046774982","https://openalex.org/W2599750357","https://openalex.org/W2020110310","https://openalex.org/W2747826837","https://openalex.org/W2369074706"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,13,16,50],"novel":[4],"approach":[5,95],"to":[6,32,41,77,80,85],"infer":[7],"missing":[8,45,62,90],"electricity":[9,37,56,72,102],"meter":[10,46,91,103],"data":[11,104],"of":[12,58,74,83,89,105],"building":[14,43,60,82],"using":[15,53,98],"seasonal":[17],"autoregressive":[18],"integrated":[19],"moving":[20],"average":[21],"model":[22,52],"with":[23,44,61],"exogenous":[24,69],"variables":[25],"(SARIMAX).":[26],"A":[27],"cross-correlation":[28],"function":[29],"is":[30,96],"utilized":[31],"identify":[33],"buildings":[34,75,108],"that":[35],"have":[36],"usage":[38,57,73],"patterns":[39],"similar":[40,79],"the":[42,54,59,64,81],"data.":[47,92],"We":[48],"train":[49],"SARIMAX":[51],"historic":[55],"data,":[63],"weather":[65],"temperature":[66],"as":[67],"an":[68],"variable,":[70],"and":[71],"identified":[76],"be":[78],"interest,":[84],"facilitate":[86],"collaborative":[87],"inference":[88],"The":[93],"proposed":[94],"verified":[97],"actual":[99],"15-minute":[100],"interval":[101],"four":[106],"office":[107],"in":[109],"Northern":[110],"California.":[111]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
