{"id":"https://openalex.org/W2124863411","doi":"https://doi.org/10.3233/ifs-151944","title":"Wind power prediction interval estimation method using wavelet-transform neuro-fuzzy network","display_name":"Wind power prediction interval estimation method using wavelet-transform neuro-fuzzy network","publication_year":2015,"publication_date":"2015-10-28","ids":{"openalex":"https://openalex.org/W2124863411","doi":"https://doi.org/10.3233/ifs-151944","mag":"2124863411"},"language":"en","primary_location":{"id":"doi:10.3233/ifs-151944","is_oa":true,"landing_page_url":"https://doi.org/10.3233/ifs-151944","pdf_url":"https://content.iospress.com:443/download/journal-of-intelligent-and-fuzzy-systems/ifs1944?id=journal-of-intelligent-and-fuzzy-systems%2Fifs1944","source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://content.iospress.com:443/download/journal-of-intelligent-and-fuzzy-systems/ifs1944?id=journal-of-intelligent-and-fuzzy-systems%2Fifs1944","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028258863","display_name":"Feng Ji","orcid":"https://orcid.org/0000-0003-3442-1471"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Ji","raw_affiliation_strings":["School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104665990","display_name":"Xingguo Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingguo Cai","raw_affiliation_strings":["School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101872030","display_name":"Jihong Zhang","orcid":"https://orcid.org/0000-0002-8571-8104"},"institutions":[{"id":"https://openalex.org/I4210121984","display_name":"Shengli Oilfield Central Hospital","ror":"https://ror.org/035wt7p80","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210121984"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihong Zhang","raw_affiliation_strings":["Shengli Oil Field Electric Power Management Corporation, Dongying, China"],"affiliations":[{"raw_affiliation_string":"Shengli Oil Field Electric Power Management Corporation, Dongying, China","institution_ids":["https://openalex.org/I4210121984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028258863"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.4002,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.67569853,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"29","issue":"6","first_page":"2439","last_page":"2445"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9998999834060669,"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":0.9998999834060669,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.5718300938606262},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5310250520706177},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.5256446599960327},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5121567249298096},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5022580623626709},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4940369725227356},{"id":"https://openalex.org/keywords/prediction-interval","display_name":"Prediction interval","score":0.47365057468414307},{"id":"https://openalex.org/keywords/interval-estimation","display_name":"Interval estimation","score":0.460293173789978},{"id":"https://openalex.org/keywords/point-estimation","display_name":"Point estimation","score":0.4369620084762573},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4281063675880432},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3185654878616333},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.31184011697769165},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28868699073791504},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.2592318654060364},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21675750613212585},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07019868493080139}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5718300938606262},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5310250520706177},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.5256446599960327},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5121567249298096},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5022580623626709},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4940369725227356},{"id":"https://openalex.org/C103402496","wikidata":"https://www.wikidata.org/wiki/Q1106171","display_name":"Prediction interval","level":2,"score":0.47365057468414307},{"id":"https://openalex.org/C205167067","wikidata":"https://www.wikidata.org/wiki/Q3300636","display_name":"Interval estimation","level":3,"score":0.460293173789978},{"id":"https://openalex.org/C41426520","wikidata":"https://www.wikidata.org/wiki/Q1192065","display_name":"Point estimation","level":2,"score":0.4369620084762573},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4281063675880432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3185654878616333},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.31184011697769165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28868699073791504},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.2592318654060364},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21675750613212585},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07019868493080139},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ifs-151944","is_oa":true,"landing_page_url":"https://doi.org/10.3233/ifs-151944","pdf_url":"https://content.iospress.com:443/download/journal-of-intelligent-and-fuzzy-systems/ifs1944?id=journal-of-intelligent-and-fuzzy-systems%2Fifs1944","source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3233/ifs-151944","is_oa":true,"landing_page_url":"https://doi.org/10.3233/ifs-151944","pdf_url":"https://content.iospress.com:443/download/journal-of-intelligent-and-fuzzy-systems/ifs1944?id=journal-of-intelligent-and-fuzzy-systems%2Fifs1944","source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9200000166893005,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2124863411.pdf","grobid_xml":"https://content.openalex.org/works/W2124863411.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W138335974","https://openalex.org/W1501916037","https://openalex.org/W1536559965","https://openalex.org/W1976006407","https://openalex.org/W1984703120","https://openalex.org/W1986629820","https://openalex.org/W1991277766","https://openalex.org/W1991420715","https://openalex.org/W1992827946","https://openalex.org/W1993601879","https://openalex.org/W1995945562","https://openalex.org/W2019207321","https://openalex.org/W2020548440","https://openalex.org/W2024692966","https://openalex.org/W2047602380","https://openalex.org/W2050038283","https://openalex.org/W2062024414","https://openalex.org/W2068522471","https://openalex.org/W2071617815","https://openalex.org/W2074511771","https://openalex.org/W2079325629","https://openalex.org/W2101108729","https://openalex.org/W2109762852","https://openalex.org/W2113238782","https://openalex.org/W2114471530","https://openalex.org/W2115299933","https://openalex.org/W2127811554","https://openalex.org/W2142386394","https://openalex.org/W2152328854","https://openalex.org/W2736396752","https://openalex.org/W3106889297","https://openalex.org/W4255272544","https://openalex.org/W6630046802","https://openalex.org/W6677092830"],"related_works":["https://openalex.org/W1023014886","https://openalex.org/W2384410534","https://openalex.org/W4388295416","https://openalex.org/W2374448978","https://openalex.org/W4240160801","https://openalex.org/W2998804369","https://openalex.org/W2736197475","https://openalex.org/W4386423551","https://openalex.org/W4293118265","https://openalex.org/W2023147183"],"abstract_inverted_index":{"Wind":[0],"power":[1,22,38,46,85,105],"point":[2,28,39],"forecasting":[3,40],"is":[4,23,42],"the":[5,17,33,51,68,75,80,94,101,114,141,144],"primary":[6],"method":[7],"to":[8,31,45,66,77,109,139],"deal":[9],"with":[10,61],"its":[11],"uncertainty.":[12],"However,":[13],"in":[14],"many":[15],"applications,":[16],"probabilistic":[18,34],"interval":[19,35,70],"of":[20,36,71,83,103,133,143],"wind":[21,37,72,84,104],"more":[24],"useful":[25],"than":[26],"traditional":[27],"forecasting.":[29],"Methods":[30],"determine":[32],"value":[41],"very":[43],"essential":[44],"system":[47],"operations.":[48],"Based":[49],"on":[50],"bootstrap":[52,97],"method,":[53,98],"this":[54],"paper":[55],"proposed":[56],"a":[57,62,87,120,129],"wavelet":[58],"transform":[59],"combined":[60],"neuro-fuzzy":[63,121],"network":[64,122],"model":[65],"estimate":[67],"prediction":[69,134],"power.":[73],"In":[74],"model,":[76],"account":[78],"for":[79],"ramp":[81,89],"event":[82,90],"series,":[86,106],"wavelet-based":[88],"was":[91,107,137],"used":[92,108],"and":[93],"moving":[95],"block":[96],"which":[99,136],"considers":[100],"dependence":[102],"construct":[110],"sampling":[111],"datasets.":[112],"Then,":[113],"bootstrapped":[115],"datasets":[116],"were":[117],"estimated":[118],"by":[119],"inference":[123],"system.":[124],"A":[125],"case":[126],"study":[127],"provided":[128],"90%":[130],"confidence":[131],"level":[132],"intervals,":[135],"constructed":[138],"examine":[140],"effectiveness":[142],"model.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-10T14:07:55.174380","created_date":"2025-10-10T00:00:00"}
