{"id":"https://openalex.org/W2972763552","doi":"https://doi.org/10.23919/acc.2019.8814622","title":"A Practical Bayesian Optimization Approach for the Optimal Estimation of the Rotor Effective Wind Speed","display_name":"A Practical Bayesian Optimization Approach for the Optimal Estimation of the Rotor Effective Wind Speed","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2972763552","doi":"https://doi.org/10.23919/acc.2019.8814622","mag":"2972763552"},"language":"en","primary_location":{"id":"doi:10.23919/acc.2019.8814622","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2019.8814622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 American Control Conference (ACC)","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/A5102705682","display_name":"Nikolaos Moustakis","orcid":"https://orcid.org/0000-0003-2052-287X"},"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":"Nikolaos Moustakis","raw_affiliation_strings":["Delft University of Technology (TU Delft), CD, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft University of Technology (TU Delft), CD, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070515027","display_name":"Sebastiaan Paul Mulders","orcid":"https://orcid.org/0000-0003-4689-257X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sebastiaan Paul Mulders","raw_affiliation_strings":["Delft Center for Systems and Control (DCSC)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft Center for Systems and Control (DCSC)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035229829","display_name":"Jens Kober","orcid":"https://orcid.org/0000-0001-7257-5434"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jens Kober","raw_affiliation_strings":["Department of Cognitive Robotics (COR)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cognitive Robotics (COR)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008521613","display_name":"Jan\u2010Willem van Wingerden","orcid":"https://orcid.org/0000-0003-3061-7442"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jan-Willem van Wingerden","raw_affiliation_strings":["Delft Center for Systems and Control (DCSC)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft Center for Systems and Control (DCSC)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6055,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.69487526,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4179","last_page":"4185"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9997000098228455,"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":0.9997000098228455,"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/T10680","display_name":"Wind Energy Research and Development","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10740","display_name":"Wind Turbine Control Systems","score":0.994700014591217,"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/bayesian-optimization","display_name":"Bayesian optimization","score":0.6678761839866638},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6212613582611084},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6121559143066406},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5745670199394226},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5713658332824707},{"id":"https://openalex.org/keywords/turbine","display_name":"Turbine","score":0.5360420346260071},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.5327728986740112},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.47695720195770264},{"id":"https://openalex.org/keywords/rotor","display_name":"Rotor (electric)","score":0.4640086889266968},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.42098289728164673},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3278057277202606},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27234819531440735},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.25564736127853394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22634512186050415},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1571401059627533},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.1095379889011383}],"concepts":[{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.6678761839866638},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6212613582611084},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6121559143066406},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5745670199394226},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5713658332824707},{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.5360420346260071},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.5327728986740112},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.47695720195770264},{"id":"https://openalex.org/C17281054","wikidata":"https://www.wikidata.org/wiki/Q193466","display_name":"Rotor (electric)","level":2,"score":0.4640086889266968},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.42098289728164673},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3278057277202606},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27234819531440735},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25564736127853394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22634512186050415},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1571401059627533},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.1095379889011383},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/acc.2019.8814622","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2019.8814622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 American Control Conference (ACC)","raw_type":"proceedings-article"},{"id":"pmh:oai:tudelft.nl:uuid:60b08bfa-9d5e-4528-8586-4d3c47a5a754","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:60b08bfa-9d5e-4528-8586-4d3c47a5a754","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9100000262260437}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321012","display_name":"Technische Universiteit Delft","ror":"https://ror.org/02e2c7k09"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W164706946","https://openalex.org/W1510052597","https://openalex.org/W1533975523","https://openalex.org/W1693986406","https://openalex.org/W1965555277","https://openalex.org/W1984787380","https://openalex.org/W2012758201","https://openalex.org/W2061144551","https://openalex.org/W2115813103","https://openalex.org/W2129664525","https://openalex.org/W2131241448","https://openalex.org/W2163948292","https://openalex.org/W2187992978","https://openalex.org/W2192203593","https://openalex.org/W2297102053","https://openalex.org/W2405316668","https://openalex.org/W2491165951","https://openalex.org/W2766308972","https://openalex.org/W2808920559","https://openalex.org/W2809353716","https://openalex.org/W2951665052","https://openalex.org/W3105904426","https://openalex.org/W3124229194","https://openalex.org/W4253314690","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3106461837","https://openalex.org/W4283700523","https://openalex.org/W3168182983","https://openalex.org/W4387079005","https://openalex.org/W4321472004","https://openalex.org/W4221166418","https://openalex.org/W2102148524","https://openalex.org/W2968265130","https://openalex.org/W2088241642"],"abstract_inverted_index":{"Modern":[0],"wind":[1,75,98,127,145],"turbines":[2],"require":[3],"careful":[4],"tuning":[5,12,40,64],"of":[6,31,63,71,110],"controller":[7],"and":[8,17,46],"estimator":[9,47],"parameters.":[10],"However,":[11],"requires":[13],"expert":[14],"control":[15,45],"experience,":[16],"is":[18,34,52,58,100,120],"therefore":[19],"in":[20,102],"practice":[21],"often":[22],"performed":[23],"by":[24],"a":[25,37,130],"trial-and-error":[26],"brute-force":[27],"approach.":[28],"The":[29,94,114],"contribution":[30],"this":[32],"work":[33],"twofold.":[35],"Firstly,":[36],"framework":[38],"for":[39,43,68],"the":[41,55,61,69,72,79,82,108,111,124,142],"parameters":[42,67],"conventional":[44],"architectures":[48],"with":[49,129,139],"Bayesian":[50,83,115],"optimization":[51,84],"proposed.":[53],"Secondly,":[54],"proposed":[56,112],"scheme":[57],"applied":[59],"to":[60,106,122,141],"problem":[62],"Kalman":[65,117],"filter":[66,118],"estimation":[70],"rotor":[73,125],"effective":[74,126,144],"speed.":[76],"For":[77],"accomplishing":[78],"beforementioned":[80],"task,":[81],"machine":[85],"learning":[86],"algorithm":[87],"uses":[88],"entropy":[89],"search":[90],"as":[91],"utility":[92],"function.":[93],"NREL":[95],"5-MW":[96],"reference":[97],"turbine":[99],"used":[101],"high-fidelity":[103],"simulation":[104],"software":[105],"show":[107],"efficacy":[109],"methodology.":[113],"optimized":[116],"configuration,":[119],"shown":[121],"estimate":[123],"speed":[128,146],"root":[131],"mean":[132],"square":[133],"error":[134],"smaller":[135],"than":[136],"5":[137],"%,":[138],"respect":[140],"actual":[143],"over":[147],"all":[148],"load":[149],"cases.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}