{"id":"https://openalex.org/W4390483314","doi":"https://doi.org/10.1109/ssci52147.2023.10371975","title":"Physics Informed Data Driven Techniques for Power Flow Analysis","display_name":"Physics Informed Data Driven Techniques for Power Flow Analysis","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390483314","doi":"https://doi.org/10.1109/ssci52147.2023.10371975"},"language":"en","primary_location":{"id":"doi:10.1109/ssci52147.2023.10371975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci52147.2023.10371975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5114114553","display_name":"Guido Parodi","orcid":null},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Guido Parodi","raw_affiliation_strings":["University of Genoa,Genova,Italy,16145"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Genoa,Genova,Italy,16145","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045802198","display_name":"Luca Oneto","orcid":"https://orcid.org/0000-0002-8445-395X"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Oneto","raw_affiliation_strings":["University of Genoa,Genova,Italy,16145"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Genoa,Genova,Italy,16145","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029096627","display_name":"Giulio Ferro","orcid":"https://orcid.org/0000-0002-0641-6846"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giulio Ferro","raw_affiliation_strings":["University of Genoa,Genova,Italy,16145"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Genoa,Genova,Italy,16145","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024375169","display_name":"Stefano Zampini","orcid":"https://orcid.org/0000-0002-0435-0433"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Zampini","raw_affiliation_strings":["University of Genoa,Genova,Italy,16145"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Genoa,Genova,Italy,16145","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039477899","display_name":"Michela Robba","orcid":"https://orcid.org/0000-0002-0032-9493"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michela Robba","raw_affiliation_strings":["University of Genoa,Genova,Italy,16145"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Genoa,Genova,Italy,16145","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036611143","display_name":"Davide Anguita","orcid":"https://orcid.org/0000-0001-7523-5291"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Davide Anguita","raw_affiliation_strings":["University of Genoa,Genova,Italy,16145"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Genoa,Genova,Italy,16145","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008943031","display_name":"Andrea Coraddu","orcid":"https://orcid.org/0000-0001-8891-4963"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Andrea Coraddu","raw_affiliation_strings":["Delft University of Technology,Delft,The Netherlands,2628CC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft University of Technology,Delft,The Netherlands,2628CC","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4909,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65198719,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10305","display_name":"Power System Optimization and Stability","score":0.9977999925613403,"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/T10305","display_name":"Power System Optimization and Stability","score":0.9977999925613403,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10454","display_name":"Optimal Power Flow Distribution","score":0.9940000176429749,"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/leverage","display_name":"Leverage (statistics)","score":0.8132301568984985},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7134501338005066},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5484330654144287},{"id":"https://openalex.org/keywords/power-flow","display_name":"Power flow","score":0.4496871531009674},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4365054666996002},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4276805520057678},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.426333487033844},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.42499732971191406},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3866386115550995},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.3823227286338806},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3444645404815674},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.303585022687912},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3004601001739502},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21360445022583008},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16601109504699707},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10784804821014404}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8132301568984985},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7134501338005066},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5484330654144287},{"id":"https://openalex.org/C2986056383","wikidata":"https://www.wikidata.org/wiki/Q556030","display_name":"Power flow","level":4,"score":0.4496871531009674},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4365054666996002},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4276805520057678},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.426333487033844},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.42499732971191406},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3866386115550995},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3823227286338806},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3444645404815674},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.303585022687912},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3004601001739502},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21360445022583008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16601109504699707},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10784804821014404},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ssci52147.2023.10371975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci52147.2023.10371975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unige.it:11567/1163618","is_oa":false,"landing_page_url":"https://hdl.handle.net/11567/1163618","pdf_url":null,"source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8299999833106995,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2014759149","https://openalex.org/W2028179783","https://openalex.org/W2100483895","https://openalex.org/W2106424475","https://openalex.org/W2112456266","https://openalex.org/W2115319320","https://openalex.org/W2118171222","https://openalex.org/W2463662408","https://openalex.org/W2548335848","https://openalex.org/W2559962737","https://openalex.org/W2737628516","https://openalex.org/W2896556344","https://openalex.org/W2947035267","https://openalex.org/W2950014333","https://openalex.org/W2963015369","https://openalex.org/W2963832523","https://openalex.org/W2984666782","https://openalex.org/W2988167007","https://openalex.org/W3004151245","https://openalex.org/W3007940425","https://openalex.org/W3015706362","https://openalex.org/W3153569949","https://openalex.org/W3163993681","https://openalex.org/W3199105196","https://openalex.org/W3215109731","https://openalex.org/W4220699563","https://openalex.org/W4236362309","https://openalex.org/W4300337930","https://openalex.org/W4309693623","https://openalex.org/W6631190155","https://openalex.org/W6764406617"],"related_works":["https://openalex.org/W2787993192","https://openalex.org/W2158269427","https://openalex.org/W4381280689","https://openalex.org/W2847365777","https://openalex.org/W3128025644","https://openalex.org/W2355048207","https://openalex.org/W2750422482","https://openalex.org/W3125827053","https://openalex.org/W2920521957","https://openalex.org/W4214882840"],"abstract_inverted_index":{"The":[0],"last":[1],"decade":[2],"has":[3],"seen":[4],"significant":[5],"changes":[6],"in":[7],"the":[8,14,73,90,98,110,138,148,170,174,178,182,193,197,201,205,213],"power":[9,26,48,209],"grid":[10,36],"complexity":[11],"due":[12],"to":[13,34,47,85,115,163,190],"increased":[15],"integration":[16],"of":[17,75,92,100,200],"multiple":[18],"heterogeneous":[19],"distributed":[20],"energy":[21],"resources.":[22],"Accurate":[23],"and":[24,42,112,119,141,180,185],"fast":[25,118],"flow":[27,49],"analysis":[28,50],"tools":[29],"have":[30,71,89,122],"then":[31],"become":[32],"essential":[33],"guarantee":[35],"stability,":[37],"reliable":[38],"operation,":[39],"strategic":[40],"planning,":[41],"market":[43],"strategies.":[44],"State-of-the-art":[45],"approaches":[46,195],"are":[51],"based":[52],"on":[53,204],"iterative":[54,86],"numerical":[55,87],"techniques":[56,77,106],"which":[57],"exhibit":[58,128],"high":[59],"accuracy":[60,82],"but":[61],"slow-,":[62],"or":[63],"even":[64],"no-,":[65],"convergence.":[66],"For":[67],"this":[68,152],"reason,":[69],"researchers":[70],"investigated":[72],"use":[74],"data-driven":[76,103,160],"that,":[78],"while":[79],"exhibiting":[80],"lower":[81],"with":[83],"respect":[84],"ones,":[88],"advantage":[91],"being":[93],"extremely":[94],"fast.":[95],"To":[96],"address":[97,164],"lack":[99],"accuracy,":[101],"physics-informed":[102],"techniques,":[104],"i.e.,":[105,176],"that":[107],"leverage":[108,137],"both":[109,165],"data":[111],"domain":[113],"knowledge":[114,172],"generate":[116],"simultaneously":[117],"accurate":[120],"models,":[121],"been":[123],"proposed.":[124],"Nevertheless,":[125],"these":[126],"works":[127],"two":[129],"main":[130],"limitations:":[131],"i)":[132],"they":[133,143],"do":[134,144],"not":[135,145],"fully":[136,168],"physical":[139,171],"knowledge,":[140],"ii)":[142],"fairly":[146,191],"compare":[147,192],"different":[149,194],"approaches.":[150],"In":[151],"paper,":[153],"we":[154],"propose":[155],"a":[156,187],"novel":[157],"physics":[158],"informed":[159],"model":[161,179],"able":[162,189],"limitations":[166],"by":[167],"leveraging":[169],"into":[173],"data-driven,":[175],"constraining":[177],"augmenting":[181],"available":[183],"data,":[184],"proposing":[186],"framework":[188],"proving":[196],"actual":[198],"effectiveness":[199],"proposal.":[202,214],"Results":[203],"IEEE":[206],"57":[207],"realistic":[208],"network":[210],"will":[211],"support":[212]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2024-01-02T00:00:00"}
