{"id":"https://openalex.org/W2522739821","doi":"https://doi.org/10.17615/n4sa-9x95","title":"Uncertainty-driven adaptive estimation with applications in electrical power systems","display_name":"Uncertainty-driven adaptive estimation with applications in electrical power systems","publication_year":2019,"publication_date":"2019-08-08","ids":{"openalex":"https://openalex.org/W2522739821","doi":"https://doi.org/10.17615/n4sa-9x95","mag":"2522739821"},"language":"en","primary_location":{"id":"pmh:oai:cdr.lib.unc.edu:uuid:1b1c361d-25f0-4883-afe8-e50efe84ff29","is_oa":true,"landing_page_url":"https://cdr.lib.unc.edu/record/uuid:1b1c361d-25f0-4883-afe8-e50efe84ff29","pdf_url":"https://cdr.lib.unc.edu/record/uuid:1b1c361d-25f0-4883-afe8-e50efe84ff29","source":{"id":"https://openalex.org/S4306401075","display_name":"Carolina Digital Repository (University of North Carolina at Chapel Hill)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114027177","host_organization_name":"University of North Carolina at Chapel Hill","host_organization_lineage":["https://openalex.org/I114027177"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://cdr.lib.unc.edu/record/uuid:1b1c361d-25f0-4883-afe8-e50efe84ff29","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008048489","display_name":"Jinghe Zhang","orcid":"https://orcid.org/0000-0002-0537-2087"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhang, Jinghe","raw_affiliation_strings":["University of North Carolina at Chapel Hill"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5008048489"],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00051956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10305","display_name":"Power System Optimization and Stability","score":0.9894000291824341,"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":0.9894000291824341,"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/T13650","display_name":"Computational Physics and Python Applications","score":0.9876999855041504,"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"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9876000285148621,"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/computer-science","display_name":"Computer science","score":0.6880720853805542},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.4975614845752716},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.47311803698539734},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.44994157552719116},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4460151493549347},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.372051477432251},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.2932819128036499},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17644944787025452},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10335174202919006}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6880720853805542},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.4975614845752716},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.47311803698539734},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.44994157552719116},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4460151493549347},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.372051477432251},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2932819128036499},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17644944787025452},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10335174202919006},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:cdr.lib.unc.edu:uuid:1b1c361d-25f0-4883-afe8-e50efe84ff29","is_oa":true,"landing_page_url":"https://cdr.lib.unc.edu/record/uuid:1b1c361d-25f0-4883-afe8-e50efe84ff29","pdf_url":"https://cdr.lib.unc.edu/record/uuid:1b1c361d-25f0-4883-afe8-e50efe84ff29","source":{"id":"https://openalex.org/S4306401075","display_name":"Carolina Digital Repository (University of North Carolina at Chapel Hill)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114027177","host_organization_name":"University of North Carolina at Chapel Hill","host_organization_lineage":["https://openalex.org/I114027177"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"mag:2522739821","is_oa":false,"landing_page_url":"https://www.cs.unc.edu/~welch/media/pdf/dissertation_zhang.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null},{"id":"doi:10.17615/n4sa-9x95","is_oa":true,"landing_page_url":"https://doi.org/10.17615/n4sa-9x95","pdf_url":null,"source":{"id":"https://openalex.org/S7407051488","display_name":"UNC Libraries","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"thesis"}],"best_oa_location":{"id":"pmh:oai:cdr.lib.unc.edu:uuid:1b1c361d-25f0-4883-afe8-e50efe84ff29","is_oa":true,"landing_page_url":"https://cdr.lib.unc.edu/record/uuid:1b1c361d-25f0-4883-afe8-e50efe84ff29","pdf_url":"https://cdr.lib.unc.edu/record/uuid:1b1c361d-25f0-4883-afe8-e50efe84ff29","source":{"id":"https://openalex.org/S4306401075","display_name":"Carolina Digital Repository (University of North Carolina at Chapel Hill)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114027177","host_organization_name":"University of North Carolina at Chapel Hill","host_organization_lineage":["https://openalex.org/I114027177"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2522739821.pdf"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W10127431","https://openalex.org/W1531218787","https://openalex.org/W1537786506","https://openalex.org/W1567569381","https://openalex.org/W1579438189","https://openalex.org/W1589114377","https://openalex.org/W1598852905","https://openalex.org/W1616682398","https://openalex.org/W1652929371","https://openalex.org/W1799080503","https://openalex.org/W1980395864","https://openalex.org/W1989443129","https://openalex.org/W1990523453","https://openalex.org/W1993960088","https://openalex.org/W1995744105","https://openalex.org/W1998984712","https://openalex.org/W2000177148","https://openalex.org/W2000836282","https://openalex.org/W2010089460","https://openalex.org/W2020865996","https://openalex.org/W2023774674","https://openalex.org/W2033775354","https://openalex.org/W2044910823","https://openalex.org/W2050591416","https://openalex.org/W2054886133","https://openalex.org/W2096257228","https://openalex.org/W2096943410","https://openalex.org/W2098331721","https://openalex.org/W2105934661","https://openalex.org/W2116100905","https://openalex.org/W2118242473","https://openalex.org/W2124601766","https://openalex.org/W2124931237","https://openalex.org/W2129049740","https://openalex.org/W2134883583","https://openalex.org/W2153263783","https://openalex.org/W2153526690","https://openalex.org/W2154817413","https://openalex.org/W2155833003","https://openalex.org/W2157135695","https://openalex.org/W2162765501","https://openalex.org/W2167055618","https://openalex.org/W2167464848","https://openalex.org/W2170759055","https://openalex.org/W2279293005","https://openalex.org/W2297294335","https://openalex.org/W2438261921","https://openalex.org/W2523725998","https://openalex.org/W2764383018","https://openalex.org/W2798909945","https://openalex.org/W3022404379","https://openalex.org/W3140950590","https://openalex.org/W3150350606"],"related_works":["https://openalex.org/W148498303"],"abstract_inverted_index":{"From":[0],"electrical":[1,276],"power":[2,277],"systems":[3,193],"to":[4,56,70,86,179,194,196,245,282],"meteorology,":[5],"large-scale":[6,78,284],"state-space":[7,79],"monitoring":[8],"and":[9,14,24,37,43,49,60,68,74,95,105,125,154,203,231,253,264,286],"forecasting":[10],"methods":[11,67,102,259,269],"are":[12,40,113,270],"fundamental":[13],"critical.":[15],"Such":[16],"problem":[17],"domains":[18],"pose":[19],"challenges":[20],"from":[21,185],"both":[22,262],"computational":[23,199],"signal":[25],"processing":[26],"perspectives,":[27],"as":[28,236],"they":[29,279],"typically":[30],"comprise":[31],"a":[32,147,171,208,211],"large":[33],"number":[34],"of":[35,76,238,275],"elements,":[36],"processes":[38],"that":[39,149,173,217,260],"highly":[41],"dynamic":[42],"complex":[44],"(e.g.,":[45],"severe":[46],"nonlinearity,":[47],"discontinuities,":[48],"uncertainties).":[50],"This":[51,191],"makes":[52],"it":[53],"especially":[54],"challenging":[55],"achieve":[57],"real-time":[58,235],"operations":[59],"control.":[61],"For":[62],"decades,":[63],"researchers":[64],"have":[65,82,99],"developed":[66,271],"technology":[69],"improve":[71],"the":[72,107,162,181,186,228,239,247,273],"accuracy":[73],"efficiency":[75],"such":[77],"estimation.":[80],"Some":[81],"devoted":[83],"their":[84],"efforts":[85],"hardware":[87],"advances---developing":[88],"advanced":[89],"devices":[90],"with":[91,210],"higher":[92],"data":[93],"precision":[94],"update":[96],"frequency.":[97],"I":[98,145,169,206],"focused":[100],"on":[101,138],"for":[103,128,157],"enhancing":[104],"optimizing":[106],"state":[108,117,176],"estimation":[109,118,241],"performance.":[110],"As":[111],"uncertainties":[112],"inevitable":[114],"in":[115,234,272],"any":[116],"process,":[119],"uncertainty":[120,153,177,215],"analysis":[121,156,178,216],"can":[122,218],"provide":[123],"valuable":[124],"informative":[126],"guidance":[127],"on-line,":[129],"predictive,":[130],"or":[131],"retroactive":[132],"analysis.":[133],"My":[134],"research":[135],"focuses":[136],"primarily":[137],"three":[139],"areas:":[140],"1.":[141],"Grid":[142],"Sensor":[143],"Placement.":[144],"present":[146,170,207],"method":[148,172,209],"combines":[150],"off-line":[151],"steady-state":[152],"topology":[155],"optimal":[158],"sensor":[159],"placement":[160],"throughout":[161],"grid":[163],"network.":[164],"2.":[165],"Filter":[166],"Computation":[167],"Adaptation.":[168],"utilizes":[174],"on-line":[175,213],"choose":[180],"best":[182],"measurement":[183,189,214],"subsets":[184],"available":[187,198],"(large-scale)":[188],"data.":[190],"allows":[192],"adapt":[195],"dynamically":[197],"resources.":[200],"3.":[201],"Adaptive":[202],"Robust":[204],"Estimation.":[205],"novel":[212],"distinguish":[219],"between":[220,250],"suboptimal/incorrect":[221],"system":[222,229],"modeling":[223],"and/or":[224],"erroneous":[225],"measurements,":[226],"weighting":[227],"model":[230],"measurements":[232],"appropriately":[233],"part":[237],"normal":[240],"process.":[242],"We":[243],"seek":[244],"bridge":[246],"disciplinary":[248],"boundaries":[249],"Computer":[251],"Science":[252],"Power":[254],"Systems":[255],"Engineering,":[256],"by":[257],"introducing":[258],"leverage":[261],"existing":[263],"new":[265],"techniques.":[266],"While":[267],"these":[268],"context":[274],"systems,":[278],"should":[280],"generalize":[281],"other":[283],"scientific":[285],"engineering":[287],"applications.":[288]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}