{"id":"https://openalex.org/W4380433283","doi":"https://doi.org/10.1145/3588730","title":"Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Data Imputation","display_name":"Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Data Imputation","publication_year":2023,"publication_date":"2023-05-26","ids":{"openalex":"https://openalex.org/W4380433283","doi":"https://doi.org/10.1145/3588730"},"language":"en","primary_location":{"id":"doi:10.1145/3588730","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3588730","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3588730","source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Management of Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3588730","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074021145","display_name":"Yangxin Fan","orcid":"https://orcid.org/0000-0003-1728-9560"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yangxin Fan","raw_affiliation_strings":["Case Western Reserve University, Cleveland, OH, USA"],"raw_orcid":"https://orcid.org/0000-0003-1728-9560","affiliations":[{"raw_affiliation_string":"Case Western Reserve University, Cleveland, OH, USA","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055285349","display_name":"Xuanji Yu","orcid":"https://orcid.org/0000-0003-1967-3769"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuanji Yu","raw_affiliation_strings":["Case Western Reserve University, Cleveland, OH, USA"],"raw_orcid":"https://orcid.org/0000-0003-1967-3769","affiliations":[{"raw_affiliation_string":"Case Western Reserve University, Cleveland, OH, USA","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039888230","display_name":"Raymond Wieser","orcid":"https://orcid.org/0000-0003-1531-6430"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raymond Wieser","raw_affiliation_strings":["Case Western Reserve University, Cleveland, OH, USA"],"raw_orcid":"https://orcid.org/0000-0003-1531-6430","affiliations":[{"raw_affiliation_string":"Case Western Reserve University, Cleveland, OH, USA","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069837740","display_name":"David Meakin","orcid":"https://orcid.org/0009-0003-1513-5266"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David Meakin","raw_affiliation_strings":["SunPower Corporation, San Jose, CA, USA"],"raw_orcid":"https://orcid.org/0009-0003-1513-5266","affiliations":[{"raw_affiliation_string":"SunPower Corporation, San Jose, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007365249","display_name":"Avishai Shaton","orcid":"https://orcid.org/0009-0009-3644-7377"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Avishai Shaton","raw_affiliation_strings":["SolarEdge Technologies, Herzliya, Israel"],"raw_orcid":"https://orcid.org/0009-0009-3644-7377","affiliations":[{"raw_affiliation_string":"SolarEdge Technologies, Herzliya, Israel","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001572614","display_name":"Jean\u2010Nicolas Jaubert","orcid":"https://orcid.org/0000-0001-7279-8937"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jean-Nicolas Jaubert","raw_affiliation_strings":["CSI Solar Co.Ltd., Guelph, Canada"],"raw_orcid":"https://orcid.org/0000-0001-7279-8937","affiliations":[{"raw_affiliation_string":"CSI Solar Co.Ltd., Guelph, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039648922","display_name":"Robert Flottemesch","orcid":"https://orcid.org/0009-0006-3251-3144"},"institutions":[{"id":"https://openalex.org/I4210137149","display_name":"Renewable Energy Systems (United States)","ror":"https://ror.org/036gc1b60","country_code":"US","type":"company","lineage":["https://openalex.org/I4210090535","https://openalex.org/I4210137149"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Flottemesch","raw_affiliation_strings":["Brookfield Renewable U.S., New York City, NY, USA"],"raw_orcid":"https://orcid.org/0009-0006-3251-3144","affiliations":[{"raw_affiliation_string":"Brookfield Renewable U.S., New York City, NY, USA","institution_ids":["https://openalex.org/I4210137149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101571836","display_name":"Michael Howell","orcid":"https://orcid.org/0009-0007-9998-2292"},"institutions":[{"id":"https://openalex.org/I139787848","display_name":"Capital University","ror":"https://ror.org/00jy9e726","country_code":"US","type":"education","lineage":["https://openalex.org/I139787848"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Howell","raw_affiliation_strings":["C2 Energy Capital, New York City, NY, USA"],"raw_orcid":"https://orcid.org/0009-0007-9998-2292","affiliations":[{"raw_affiliation_string":"C2 Energy Capital, New York City, NY, USA","institution_ids":["https://openalex.org/I139787848"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087506938","display_name":"Jennifer L. Braid","orcid":"https://orcid.org/0000-0002-0677-7756"},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jennifer Braid","raw_affiliation_strings":["Sandia National Labs, Albuquerque, NM, USA"],"raw_orcid":"https://orcid.org/0000-0002-0677-7756","affiliations":[{"raw_affiliation_string":"Sandia National Labs, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I4210104735"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078601277","display_name":"Laura S. Bruckman","orcid":"https://orcid.org/0000-0003-1271-1072"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Laura Bruckman","raw_affiliation_strings":["Case Western Reserve University, Cleveland, OH, USA"],"raw_orcid":"https://orcid.org/0000-0003-1271-1072","affiliations":[{"raw_affiliation_string":"Case Western Reserve University, Cleveland, OH, USA","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085904418","display_name":"Roger H. French","orcid":"https://orcid.org/0000-0002-6162-0532"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roger French","raw_affiliation_strings":["Case Western Reserve University, Cleveland, OH, USA"],"raw_orcid":"https://orcid.org/0000-0002-6162-0532","affiliations":[{"raw_affiliation_string":"Case Western Reserve University, Cleveland, OH, USA","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071093153","display_name":"Yinghui Wu","orcid":"https://orcid.org/0000-0003-3991-5155"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yinghui Wu","raw_affiliation_strings":["Case Western Reserve University, Cleveland, OH, USA"],"raw_orcid":"https://orcid.org/0000-0003-3991-5155","affiliations":[{"raw_affiliation_string":"Case Western Reserve University, Cleveland, OH, USA","institution_ids":["https://openalex.org/I58956616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4108,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.80060833,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"1","issue":"1","first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9976000189781189,"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":0.9976000189781189,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9969000220298767,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.848903238773346},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.833166241645813},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6624943614006042},{"id":"https://openalex.org/keywords/photovoltaic-system","display_name":"Photovoltaic system","score":0.6295341849327087},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5814084410667419},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.45287737250328064},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4159723222255707},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4129332900047302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41064274311065674},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3263167440891266},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26311948895454407},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12670671939849854},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11620616912841797}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.848903238773346},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.833166241645813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6624943614006042},{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.6295341849327087},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5814084410667419},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.45287737250328064},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4159723222255707},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4129332900047302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41064274311065674},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3263167440891266},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26311948895454407},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12670671939849854},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11620616912841797},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3588730","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3588730","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3588730","source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Management of Data","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3588730","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3588730","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3588730","source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Management of Data","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G4718148333","display_name":"ROBUST PV PERFORMANCE LOSS RATE PREDICTION:  USING SPATIOTEMPORAL GRAPH NEURAL NETWORK MODELS IN A RELIABLE \nSYSTEM-TOPOLOGY-AWARE LEARNING FRAMEWORK","funder_award_id":"DEEE0009353","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G8373239379","display_name":null,"funder_award_id":"DE-EE0009353","funder_id":"https://openalex.org/F4320337712","funder_display_name":"Solar Energy Technologies Office"}],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320332360","display_name":"Office of Energy Efficiency and Renewable Energy","ror":"https://ror.org/02xznz413"},{"id":"https://openalex.org/F4320337712","display_name":"Solar Energy Technologies Office","ror":"https://ror.org/033jmdj81"},{"id":"https://openalex.org/F4320337919","display_name":"Office of Energy Efficiency","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4380433283.pdf","grobid_xml":"https://content.openalex.org/works/W4380433283.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1781481323","https://openalex.org/W1972264001","https://openalex.org/W2109453625","https://openalex.org/W2162772535","https://openalex.org/W2311599690","https://openalex.org/W2491853762","https://openalex.org/W2565330852","https://openalex.org/W2756203131","https://openalex.org/W2788592841","https://openalex.org/W2904449562","https://openalex.org/W2907492528","https://openalex.org/W2910203578","https://openalex.org/W2997848713","https://openalex.org/W3010208200","https://openalex.org/W3034951560","https://openalex.org/W3038981236","https://openalex.org/W3094009742","https://openalex.org/W3103720336","https://openalex.org/W3113310528","https://openalex.org/W3120566696","https://openalex.org/W3148721332","https://openalex.org/W3152893301","https://openalex.org/W3155181736","https://openalex.org/W3174724159","https://openalex.org/W3200053136","https://openalex.org/W3201047833","https://openalex.org/W3210361503","https://openalex.org/W4214660089","https://openalex.org/W4399577486"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W2055961818","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516","https://openalex.org/W2581984549"],"abstract_inverted_index":{"The":[0],"integration":[1],"of":[2,26,32,40,90,105,135,155],"the":[3,30,38,133],"global":[4],"Photovoltaic":[5],"(PV)":[6],"market":[7],"with":[8,85,173],"real":[9],"time":[10],"data-loggers":[11],"has":[12],"enabled":[13],"large":[14],"scale":[15],"PV":[16,27,33,41,57,139,146],"data":[17,34,98,107,175],"analytical":[18],"pipelines":[19],"for":[20],"power":[21],"forecasting":[22],"and":[23,66,118,128,160,169],"reliability":[24],"assessment":[25],"fleets.":[28],"Nevertheless,":[29],"performance":[31],"analysis":[35],"depends":[36],"on":[37,144],"quality":[39],"timeseries":[42],"data.":[43,75],"We":[44],"propose":[45],"a":[46,95,153],"novel":[47],"Spatio-Temporal":[48],"Denoising":[49],"Graph":[50],"Autoencoder":[51],"STD-GAE":[52,60,93,111,121,150],"framework":[53],"to":[54,72,101,112,131,164],"impute":[55],"missing":[56,74,91,106,165,170],"Power":[58],"Data.":[59],"exploits":[61],"temporal":[62],"correlation,":[63],"spatial":[64],"coherence,":[65],"value":[67],"dependencies":[68],"from":[69],"domain":[70],"knowledge":[71],"recover":[73],"It":[76],"is":[77],"empowered":[78],"by":[79],"two":[80,145],"modules.":[81],"(1)":[82],"To":[83],"cope":[84],"sparse":[86],"yet":[87],"various":[88],"scenarios":[89],"data,":[92],"incorporates":[94],"domain-knowledge":[96],"aware":[97],"augmentation":[99],"module":[100],"create":[102],"plausible":[103],"variations":[104],"patterns.":[108],"This":[109],"generalizes":[110],"robust":[113],"imputation":[114,136,158,176],"over":[115],"different":[116,167],"seasons":[117],"environment.":[119],"(2)":[120],"nontrivially":[122],"integrates":[123],"spatiotemporal":[124],"graph":[125],"convolution":[126],"layers":[127],"denoising":[129],"autoencoder":[130],"improve":[132],"accuracy":[134,137,159],"at":[138],"fleet":[140],"level.":[141],"Experimental":[142],"results":[143],"datasets":[147],"show":[148],"that":[149],"can":[151],"achieve":[152],"gain":[154],"43.14%":[156],"in":[157],"remains":[161],"less":[162],"sensitive":[163],"rate,":[166],"seasons,":[168],"scenarios,":[171],"compared":[172],"state-of-the-art":[174],"methods.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
