{"id":"https://openalex.org/W7159972444","doi":"https://doi.org/10.1109/access.2026.3688467","title":"Probabilistic Wind Energy Potential Assessment in Vietnam Using Shape-Aware Hybrid Adaptive KDE","display_name":"Probabilistic Wind Energy Potential Assessment in Vietnam Using Shape-Aware Hybrid Adaptive KDE","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7159972444","doi":"https://doi.org/10.1109/access.2026.3688467"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3688467","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3688467","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2026.3688467","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075983855","display_name":"Ton Duc","orcid":"https://orcid.org/0000-0002-8605-2666"},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":true,"raw_author_name":"Ton Duc Do","raw_affiliation_strings":["Department of Robotics, School of Engineering and Digital Sciences, Nazarbayev University, Astana, Kazakhstan"],"raw_orcid":"https://orcid.org/0000-0002-8605-2666","affiliations":[{"raw_affiliation_string":"Department of Robotics, School of Engineering and Digital Sciences, Nazarbayev University, Astana, Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108720296","display_name":"T. Chau","orcid":"https://orcid.org/0009-0009-7831-8864"},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Tin Trung Chau","raw_affiliation_strings":["Department of Robotics, School of Engineering and Digital Sciences, Nazarbayev University, Astana, Kazakhstan"],"raw_orcid":"https://orcid.org/0009-0009-7831-8864","affiliations":[{"raw_affiliation_string":"Department of Robotics, School of Engineering and Digital Sciences, Nazarbayev University, Astana, Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044581546","display_name":"Van\u2010Phong Vu","orcid":"https://orcid.org/0000-0002-3243-1775"},"institutions":[{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"van-Phong Vu","raw_affiliation_strings":["Ho Chi Minh City University of Technology and Engineering, Ho Chi Minh City, Vietnam"],"raw_orcid":"https://orcid.org/0000-0002-3243-1775","affiliations":[{"raw_affiliation_string":"Ho Chi Minh City University of Technology and Engineering, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I47265099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028527351","display_name":"Mi Sa Nguyen Thi","orcid":null},"institutions":[{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Mi Sa Nguyen Thi","raw_affiliation_strings":["Ho Chi Minh City University of Technology and Engineering, Ho Chi Minh City, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ho Chi Minh City University of Technology and Engineering, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I47265099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072196202","display_name":"Dinh\u2010Nhon Truong","orcid":"https://orcid.org/0000-0002-4015-6769"},"institutions":[{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Dinh-Nhon Truong","raw_affiliation_strings":["Ho Chi Minh City University of Technology and Engineering, Ho Chi Minh City, Vietnam"],"raw_orcid":"https://orcid.org/0000-0002-4015-6769","affiliations":[{"raw_affiliation_string":"Ho Chi Minh City University of Technology and Engineering, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I47265099"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5075983855"],"corresponding_institution_ids":["https://openalex.org/I60559429"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.80572056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"68580","last_page":"68596"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.21960000693798065,"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":0.21960000693798065,"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":0.15289999544620514,"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/T11007","display_name":"Hybrid Renewable Energy Systems","score":0.09870000183582306,"subfield":{"id":"https://openalex.org/subfields/2102","display_name":"Energy Engineering and Power Technology"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7085999846458435},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.5073999762535095},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.43639999628067017},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.37869998812675476},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.3783999979496002},{"id":"https://openalex.org/keywords/atmospheric-model","display_name":"Atmospheric model","score":0.3587999939918518},{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.31119999289512634}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7085999846458435},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6190000176429749},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.5073999762535095},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.43639999628067017},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.37869998812675476},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.3783999979496002},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3644999861717224},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3644999861717224},{"id":"https://openalex.org/C118365302","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric model","level":2,"score":0.3587999939918518},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3495999872684479},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.31119999289512634},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C60782215","wikidata":"https://www.wikidata.org/wiki/Q3333679","display_name":"Probabilistic method","level":3,"score":0.2752000093460083},{"id":"https://openalex.org/C2986605239","wikidata":"https://www.wikidata.org/wiki/Q925667","display_name":"Numerical models","level":3,"score":0.2743000090122223},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3688467","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3688467","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:568fc4cd0d6f4419bec52e94f9f0958c","is_oa":true,"landing_page_url":"https://doaj.org/article/568fc4cd0d6f4419bec52e94f9f0958c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 14, Pp 68580-68596 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3688467","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3688467","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8377050161361694}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"modeling":[1,31],"of":[2,42,123,143,153],"wind":[3,133,176,186],"speed":[4],"probability":[5],"density":[6],"(WSPDs)":[7],"distributions":[8],"is":[9,34],"important":[10],"for":[11,79,172],"assessing":[12],"renewable":[13],"energy":[14,134,150],"potential.":[15],"In":[16],"this":[17],"paper,":[18],"we":[19],"introduce":[20],"the":[21,72,77,120,124,128,160],"Shape-aware":[22],"Hybrid":[23],"Adaptive-bandwidth":[24],"KDE":[25,100,104],"(SHA-KDE)":[26],"method,":[27],"a":[28,43,168],"new":[29],"nonparametric":[30],"approach.":[32],"It":[33],"designed":[35],"to":[36,70],"preserve":[37],"local":[38,68],"detail":[39],"around":[40],"peaks":[41],"distribution":[44],"while":[45],"ensuring":[46],"stability":[47],"in":[48,89,179],"data-sparse":[49],"regions.":[50],"SHA-KDE":[51,93],"combines":[52],"curvature-based":[53],"bandwidth":[54,57],"and":[55,102,115,146,174,181],"nearest-neighbor":[56],"adaptation":[58],"strategies":[59],"using":[60],"an":[61,137,147],"adaptive":[62,67],"mixing":[63],"weight.":[64],"This":[65,165],"enables":[66],"smoothing":[69],"fit":[71],"data&#x2019;s":[73],"real":[74],"features,":[75],"reducing":[76],"need":[78],"manual":[80],"tuning.":[81],"Experiments":[82],"on":[83],"datasets":[84],"from":[85],"10":[86],"meteorological":[87],"stations":[88],"Vietnam":[90,180],"show":[91],"that":[92],"performs":[94],"better":[95],"than":[96],"traditional":[97],"Weibull,":[98],"fixed-bandwidth":[99],"(KDE),":[101],"adaptive-bandwidth":[103],"(AKDE)":[105],"models":[106],"as":[107],"measured":[108],"by":[109],"Cram&#x00E9;r-von":[110],"Mises":[111],"(CvM),":[112],"Anderson-Darling":[113],"(A-D),":[114],"Log-likelihood.":[116],"When":[117],"combined":[118],"with":[119,136,184],"power":[121,177],"curve":[122],"Vestas":[125],"V110-2.0":[126],"turbine,":[127],"proposed":[129],"framework":[130],"yields":[131],"screening-level":[132],"estimates,":[135],"indicative":[138,148],"net":[139],"capacity":[140],"factor":[141],"(CF)":[142],"approximately":[144,154],"40%":[145],"annual":[149],"production":[151],"(AEP)":[152],"7.0":[155],"GWh":[156],"per":[157],"turbine":[158],"under":[159],"assumed":[161],"15%":[162],"loss":[163],"factor.":[164],"study":[166],"provides":[167],"reliable":[169],"statistical":[170],"tool":[171],"planning":[173],"optimizing":[175],"projects":[178],"other":[182],"regions":[183],"complex":[185],"patterns.":[187]},"counts_by_year":[],"updated_date":"2026-05-15T08:27:34.491423","created_date":"2026-05-04T00:00:00"}
