{"id":"https://openalex.org/W4402475613","doi":"https://doi.org/10.1109/ccece59415.2024.10667290","title":"Normalizing Flows-based Probabilistic Learning-Aided Distribution System State Estimation","display_name":"Normalizing Flows-based Probabilistic Learning-Aided Distribution System State Estimation","publication_year":2024,"publication_date":"2024-08-06","ids":{"openalex":"https://openalex.org/W4402475613","doi":"https://doi.org/10.1109/ccece59415.2024.10667290"},"language":"en","primary_location":{"id":"doi:10.1109/ccece59415.2024.10667290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece59415.2024.10667290","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","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/A5018295351","display_name":"Shahabodin Afrasiabi","orcid":"https://orcid.org/0000-0002-1452-3924"},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Shahabodin Afrasiabi","raw_affiliation_strings":["University of Saskatchewan,Department of Electrical and Computer Engineering,Saskatoon,SK,Canada"],"affiliations":[{"raw_affiliation_string":"University of Saskatchewan,Department of Electrical and Computer Engineering,Saskatoon,SK,Canada","institution_ids":["https://openalex.org/I32625721"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031637653","display_name":"Xiaodong Liang","orcid":"https://orcid.org/0000-0002-8089-5419"},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiaodong Liang","raw_affiliation_strings":["University of Saskatchewan,Department of Electrical and Computer Engineering,Saskatoon,SK,Canada"],"affiliations":[{"raw_affiliation_string":"University of Saskatchewan,Department of Electrical and Computer Engineering,Saskatoon,SK,Canada","institution_ids":["https://openalex.org/I32625721"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018295351"],"corresponding_institution_ids":["https://openalex.org/I32625721"],"apc_list":null,"apc_paid":null,"fwci":0.6612,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69617454,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"823","last_page":"828"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.996999979019165,"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":0.996999979019165,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9950000047683716,"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/T10305","display_name":"Power System Optimization and Stability","score":0.989799976348877,"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":0.6803516149520874},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6365536451339722},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5871725678443909},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5070891380310059},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4393618404865265},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4078618884086609},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19492533802986145},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1108875572681427}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6803516149520874},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6365536451339722},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5871725678443909},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5070891380310059},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4393618404865265},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4078618884086609},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19492533802986145},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1108875572681427},{"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/ccece59415.2024.10667290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece59415.2024.10667290","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1967643758","https://openalex.org/W2099057450","https://openalex.org/W2103474619","https://openalex.org/W2342408507","https://openalex.org/W2401066155","https://openalex.org/W2554200450","https://openalex.org/W2890369708","https://openalex.org/W2900620189","https://openalex.org/W2921337392","https://openalex.org/W2946743853","https://openalex.org/W2954994959","https://openalex.org/W2963590654","https://openalex.org/W2990948576","https://openalex.org/W2992005611","https://openalex.org/W3011512377","https://openalex.org/W3036794281","https://openalex.org/W3043838952","https://openalex.org/W3069366421","https://openalex.org/W3099930155","https://openalex.org/W3158560693","https://openalex.org/W4226355869","https://openalex.org/W4285082014","https://openalex.org/W4294691187","https://openalex.org/W4294891632","https://openalex.org/W4297798428","https://openalex.org/W4308091084","https://openalex.org/W4313410357","https://openalex.org/W4327857956","https://openalex.org/W4367663587","https://openalex.org/W4382468303","https://openalex.org/W4384519352","https://openalex.org/W4385347227","https://openalex.org/W4391495579","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6674887261","https://openalex.org/W6714644935"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,14,93,102],"new":[4],"distribution":[5,35],"system":[6,66],"state":[7,33],"estimation":[8],"(DSSE)":[9],"solver":[10,26,58],"constructed":[11],"based":[12],"on":[13,31,46],"strong":[15],"generative":[16],"network,":[17],"the":[18,32,38,62,82,85],"normalizing":[19],"flow":[20],"(NF).":[21],"The":[22,56,88],"proposed":[23,57,89],"NF-based":[24],"DSSE":[25,79,90,110],"provides":[27],"full":[28],"statistical":[29],"information":[30],"of":[34],"networks":[36],"through":[37],"probability":[39],"density":[40],"function":[41],"(PDF),":[42],"ensuring":[43],"its":[44],"robustness":[45,97],"Gaussian":[47,99],"noises":[48],"and":[49,67,73],"effectiveness":[50],"for":[51],"different":[52],"small-scale":[53],"data":[54,69],"sizes.":[55],"is":[59],"validated":[60],"by":[61],"IEEE":[63],"123-bus":[64],"test":[65],"real-world":[68],"from":[70],"London,":[71],"England,":[72],"are":[74],"compared":[75],"with":[76],"three":[77],"existing":[78],"solvers":[80],"in":[81,96,105],"literature,":[83],"showing":[84],"superior":[86],"performance.":[87],"framework":[91],"demonstrates":[92],"quantifiable":[94],"enhancement":[95],"against":[98],"noises,":[100],"achieving":[101],"30%":[103],"improvement":[104],"accuracy":[106],"over":[107],"previously":[108],"presented":[109],"solvers.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}
