{"id":"https://openalex.org/W4313184628","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892780","title":"Spatio-Temporal Graph Neural Networks for Aggregate Load Forecasting","display_name":"Spatio-Temporal Graph Neural Networks for Aggregate Load Forecasting","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4313184628","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892780"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892780","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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/A5083850224","display_name":"Simone Eandi","orcid":null},"institutions":[{"id":"https://openalex.org/I57201433","display_name":"Universit\u00e0 della Svizzera italiana","ror":"https://ror.org/03c4atk17","country_code":"CH","type":"education","lineage":["https://openalex.org/I57201433"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Simone Eandi","raw_affiliation_strings":["Università della Svizzera italiana"],"affiliations":[{"raw_affiliation_string":"Università della Svizzera italiana","institution_ids":["https://openalex.org/I57201433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084050368","display_name":"Andrea Cini","orcid":"https://orcid.org/0000-0003-3219-9360"},"institutions":[{"id":"https://openalex.org/I2614128279","display_name":"Dalle Molle Institute for Artificial Intelligence Research","ror":"https://ror.org/013355g38","country_code":"CH","type":"facility","lineage":["https://openalex.org/I15196421","https://openalex.org/I2614128279","https://openalex.org/I57201433"]},{"id":"https://openalex.org/I57201433","display_name":"Universit\u00e0 della Svizzera italiana","ror":"https://ror.org/03c4atk17","country_code":"CH","type":"education","lineage":["https://openalex.org/I57201433"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Andrea Cini","raw_affiliation_strings":["Università della Svizzera italiana,IDSIA"],"affiliations":[{"raw_affiliation_string":"Università della Svizzera italiana,IDSIA","institution_ids":["https://openalex.org/I57201433","https://openalex.org/I2614128279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030565090","display_name":"Slobodan Lukovi\u0107","orcid":"https://orcid.org/0000-0003-4079-651X"},"institutions":[{"id":"https://openalex.org/I57201433","display_name":"Universit\u00e0 della Svizzera italiana","ror":"https://ror.org/03c4atk17","country_code":"CH","type":"education","lineage":["https://openalex.org/I57201433"]},{"id":"https://openalex.org/I2614128279","display_name":"Dalle Molle Institute for Artificial Intelligence Research","ror":"https://ror.org/013355g38","country_code":"CH","type":"facility","lineage":["https://openalex.org/I15196421","https://openalex.org/I2614128279","https://openalex.org/I57201433"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Slobodan Lukovic","raw_affiliation_strings":["Università della Svizzera italiana,IDSIA"],"affiliations":[{"raw_affiliation_string":"Università della Svizzera italiana,IDSIA","institution_ids":["https://openalex.org/I57201433","https://openalex.org/I2614128279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005003786","display_name":"Cesare Alippi","orcid":"https://orcid.org/0000-0003-3819-0025"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]},{"id":"https://openalex.org/I2614128279","display_name":"Dalle Molle Institute for Artificial Intelligence Research","ror":"https://ror.org/013355g38","country_code":"CH","type":"facility","lineage":["https://openalex.org/I15196421","https://openalex.org/I2614128279","https://openalex.org/I57201433"]},{"id":"https://openalex.org/I57201433","display_name":"Universit\u00e0 della Svizzera italiana","ror":"https://ror.org/03c4atk17","country_code":"CH","type":"education","lineage":["https://openalex.org/I57201433"]}],"countries":["CH","IT"],"is_corresponding":false,"raw_author_name":"Cesare Alippi","raw_affiliation_strings":["Università della Svizzera italiana,IDSIA","Politecnico di Milano"],"affiliations":[{"raw_affiliation_string":"Università della Svizzera italiana,IDSIA","institution_ids":["https://openalex.org/I57201433","https://openalex.org/I2614128279"]},{"raw_affiliation_string":"Politecnico di Milano","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083850224"],"corresponding_institution_ids":["https://openalex.org/I57201433"],"apc_list":null,"apc_paid":null,"fwci":1.9313,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.87565089,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":1.0,"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":1.0,"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":0.9970999956130981,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.793179988861084},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.6398694515228271},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.604029655456543},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5724639296531677},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5533515810966492},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47575873136520386},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4551151394844055},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4518895745277405},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.4219902455806732},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3835042119026184},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36405372619628906},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2555665969848633},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08722764253616333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.793179988861084},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.6398694515228271},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.604029655456543},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5724639296531677},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5533515810966492},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47575873136520386},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4551151394844055},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4518895745277405},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.4219902455806732},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3835042119026184},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36405372619628906},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2555665969848633},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08722764253616333},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892780","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1233906","is_oa":false,"landing_page_url":"https://hdl.handle.net/11311/1233906","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6499999761581421}],"awards":[{"id":"https://openalex.org/G5092746137","display_name":null,"funder_award_id":"SI/501888-01","funder_id":"https://openalex.org/F4320335015","funder_display_name":"Bundesamt f\u00fcr Energie"}],"funders":[{"id":"https://openalex.org/F4320335015","display_name":"Bundesamt f\u00fcr Energie","ror":"https://ror.org/020ddnn22"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1538131130","https://openalex.org/W2008668719","https://openalex.org/W2064675550","https://openalex.org/W2089758604","https://openalex.org/W2116341502","https://openalex.org/W2135160607","https://openalex.org/W2232980359","https://openalex.org/W2302731314","https://openalex.org/W2565330852","https://openalex.org/W2601171548","https://openalex.org/W2603648311","https://openalex.org/W2613278213","https://openalex.org/W2754252319","https://openalex.org/W2761158873","https://openalex.org/W2761405195","https://openalex.org/W2771889853","https://openalex.org/W2792764867","https://openalex.org/W2805516822","https://openalex.org/W2889480665","https://openalex.org/W2905388713","https://openalex.org/W2963358464","https://openalex.org/W2965341826","https://openalex.org/W2997848713","https://openalex.org/W3000386982","https://openalex.org/W3017895332","https://openalex.org/W3043084043","https://openalex.org/W3084535629","https://openalex.org/W3089893922","https://openalex.org/W3090516321","https://openalex.org/W3175573522","https://openalex.org/W3176181793","https://openalex.org/W3187911394","https://openalex.org/W3199040194","https://openalex.org/W4287062502","https://openalex.org/W4385245566","https://openalex.org/W6632100814","https://openalex.org/W6735826779","https://openalex.org/W6737454906","https://openalex.org/W6739901393","https://openalex.org/W6746015598","https://openalex.org/W6749825310","https://openalex.org/W6751796012","https://openalex.org/W6773017188","https://openalex.org/W6776291236","https://openalex.org/W6840585966"],"related_works":["https://openalex.org/W1828158523","https://openalex.org/W2047547195","https://openalex.org/W2378211422","https://openalex.org/W204175656","https://openalex.org/W2803255289","https://openalex.org/W1512294453","https://openalex.org/W1993992974","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2550734047"],"abstract_inverted_index":{"Accurate":[0],"forecasting":[1,42,170],"of":[2,9,88,91,122,135],"electricity":[3,12],"demand":[4],"is":[5,82],"a":[6,38,60,89,95,142,149],"core":[7],"component":[8],"the":[10,34,50,55,68,85,100,104,124,128,132,156,166],"modern":[11,23],"infrastructure.":[13],"Several":[14],"approaches":[15],"exist":[16],"that":[17,165],"tackle":[18],"this":[19,65,117],"problem":[20],"by":[21,49],"exploiting":[22],"deep":[24],"learning":[25],"tools.":[26],"However,":[27],"most":[28],"previous":[29],"works":[30],"focus":[31],"on":[32,103,141],"predicting":[33],"total":[35,101,157],"load":[36,87,102,158],"as":[37],"univariate":[39],"time":[40],"series":[41],"task,":[43],"ignoring":[44],"all":[45],"fine-grained":[46],"information":[47,66,126],"captured":[48],"smart":[51,92],"meters":[52],"distributed":[53],"across":[54],"power":[56],"grid.":[57,105],"We":[58,106,137],"introduce":[59],"methodology":[61,168],"to":[62,115],"account":[63],"for":[64,155],"in":[67],"graph":[69,111],"neural":[70,112],"network":[71,113],"framework.":[72],"In":[73],"particular,":[74],"we":[75,163],"consider":[76],"spatio-temporal":[77,110],"graphs":[78],"where":[79],"each":[80],"node":[81],"associated":[83],"with":[84],"aggregate":[86],"cluster":[90],"meters,":[93],"and":[94,119,127],"global":[96],"graph-level":[97],"attribute":[98],"indicates":[99],"propose":[107],"two":[108],"novel":[109],"models":[114,140],"process":[116],"representation":[118],"take":[120],"advantage":[121],"both":[123],"finer-grained":[125],"relationships":[129],"existing":[130],"between":[131],"different":[133],"clusters":[134],"meters.":[136],"compare":[138],"these":[139,161],"widely":[143],"used,":[144],"openly":[145],"available,":[146],"benchmark":[147],"against":[148],"competitive":[150],"baseline":[151],"which":[152],"only":[153],"accounts":[154],"profile.":[159],"Within":[160],"settings,":[162],"show":[164],"proposed":[167],"improves":[169],"accuracy.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}