{"id":"https://openalex.org/W4407361048","doi":"https://doi.org/10.1109/isgteurope62998.2024.10863723","title":"Efficient Sampling for Data-Driven Frequency Stability Constraint via Forward-Mode Automatic Differentiation","display_name":"Efficient Sampling for Data-Driven Frequency Stability Constraint via Forward-Mode Automatic Differentiation","publication_year":2024,"publication_date":"2024-10-14","ids":{"openalex":"https://openalex.org/W4407361048","doi":"https://doi.org/10.1109/isgteurope62998.2024.10863723"},"language":"en","primary_location":{"id":"doi:10.1109/isgteurope62998.2024.10863723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgteurope62998.2024.10863723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5083678182","display_name":"Wangkun Xu","orcid":"https://orcid.org/0000-0001-9811-2673"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wangkun Xu","raw_affiliation_strings":["Imperial College London,Electrical and Electronic Engineering,London,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London,Electrical and Electronic Engineering,London,UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100771803","display_name":"Qian Chen","orcid":"https://orcid.org/0000-0001-9198-0582"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qian Chen","raw_affiliation_strings":["Imperial College London,Electrical and Electronic Engineering,London,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London,Electrical and Electronic Engineering,London,UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088011987","display_name":"Pudong Ge","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pudong Ge","raw_affiliation_strings":["Imperial College London,Electrical and Electronic Engineering,London,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London,Electrical and Electronic Engineering,London,UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007934893","display_name":"Zhongda Chu","orcid":"https://orcid.org/0000-0002-9429-9255"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhongda Chu","raw_affiliation_strings":["Imperial College London,Electrical and Electronic Engineering,London,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London,Electrical and Electronic Engineering,London,UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100603953","display_name":"Teng Fei","orcid":"https://orcid.org/0009-0001-1487-6332"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Fei Teng","raw_affiliation_strings":["Imperial College London,Electrical and Electronic Engineering,London,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London,Electrical and Electronic Engineering,London,UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9797999858856201,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9682999849319458,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/constraint","display_name":"Constraint (computer-aided design)","score":0.6601763963699341},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6256096363067627},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.6167978644371033},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.5924460291862488},{"id":"https://openalex.org/keywords/automatic-differentiation","display_name":"Automatic differentiation","score":0.5500060319900513},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.44592419266700745},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3277689516544342},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23301520943641663},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2141929268836975},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1065644919872284}],"concepts":[{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6601763963699341},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6256096363067627},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.6167978644371033},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.5924460291862488},{"id":"https://openalex.org/C133512626","wikidata":"https://www.wikidata.org/wiki/Q787371","display_name":"Automatic differentiation","level":3,"score":0.5500060319900513},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.44592419266700745},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3277689516544342},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23301520943641663},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2141929268836975},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1065644919872284},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"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/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isgteurope62998.2024.10863723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgteurope62998.2024.10863723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2516173060","https://openalex.org/W2894110713","https://openalex.org/W2894459708","https://openalex.org/W2905020454","https://openalex.org/W2937026737","https://openalex.org/W3003323862","https://openalex.org/W3027105970","https://openalex.org/W4226063052","https://openalex.org/W4292983160","https://openalex.org/W4313180450","https://openalex.org/W4315488836","https://openalex.org/W4388642543","https://openalex.org/W4398226166","https://openalex.org/W6638908295","https://openalex.org/W6771876938"],"related_works":["https://openalex.org/W4230546540","https://openalex.org/W1543341614","https://openalex.org/W1718642889","https://openalex.org/W2553993726","https://openalex.org/W2039953621","https://openalex.org/W2077306381","https://openalex.org/W3211257750","https://openalex.org/W3122563667","https://openalex.org/W2071426496","https://openalex.org/W2026155714"],"abstract_inverted_index":{"Encoding":[0],"frequency":[1,132],"stability":[2,24,133],"constraints":[3],"in":[4,48],"the":[5,23,28,56,66,69,90,101,106,125,128,141,144,148,151,155,159,165],"operation":[6,43],"problem":[7],"is":[8,45,62,94,137],"challenging":[9],"due":[10],"to":[11,21],"its":[12],"complex":[13],"dynamics.":[14],"Recently,":[15],"data-driven":[16],"approaches":[17],"have":[18],"been":[19],"proposed":[20,138,160],"learn":[22],"criteria":[25],"offline":[26],"with":[27,96,164],"trained":[29],"model":[30,61],"embedded":[31],"as":[32],"a":[33,60,78,119],"constraint":[34],"of":[35,41,58,68,103,105,130,147,158],"online":[36],"optimization.":[37],"However,":[38],"random":[39],"sampling":[40,161],"stationary":[42],"points":[44],"less":[46],"efficient":[47],"generating":[49],"balanced":[50],"stable":[51],"and":[52,168],"unstable":[53],"samples.":[54],"Meanwhile,":[55],"performance":[57,157],"such":[59],"strongly":[63],"dependent":[64],"on":[65,143],"quality":[67],"training":[70],"dataset.":[71],"Observing":[72],"this":[73,88],"research":[74],"gap,":[75],"we":[76,153],"propose":[77],"gradient-based":[79],"data":[80],"generation":[81],"method":[82],"via":[83],"forward-mode":[84],"automatic":[85],"differentiation.":[86],"In":[87,150],"method,":[89],"original":[91,107],"dynamic":[92,102],"system":[93],"augmented":[95],"new":[97],"states":[98],"that":[99],"represent":[100],"sensitivities":[104],"states,":[108],"which":[109],"can":[110],"be":[111],"solved":[112],"by":[113,139],"invoking":[114],"any":[115],"ODE":[116],"solver":[117],"for":[118,124],"single":[120],"time.":[121],"To":[122],"compensate":[123],"contradiction":[126],"between":[127],"gradient":[129,135,142],"various":[131],"criteria,":[134],"surgery":[136],"projecting":[140],"normal":[145],"plane":[146],"other.":[149],"end,":[152],"demonstrate":[154],"superior":[156],"algorithm,":[162],"compared":[163],"unrolling":[166],"differentiation":[167],"finite":[169],"difference.":[170],"All":[171],"codes":[172],"are":[173],"available":[174],"at":[175],"https://github.com/xuwkk/frequency_sample_ad.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}