{"id":"https://openalex.org/W2613711905","doi":"https://doi.org/10.1109/icit.2017.7913264","title":"Deterministic and probabilistic wind power forecasting using a hybrid method","display_name":"Deterministic and probabilistic wind power forecasting using a hybrid method","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2613711905","doi":"https://doi.org/10.1109/icit.2017.7913264","mag":"2613711905"},"language":"en","primary_location":{"id":"doi:10.1109/icit.2017.7913264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit.2017.7913264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Industrial Technology (ICIT)","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/A5109830810","display_name":"Chao\u2010Ming Huang","orcid":"https://orcid.org/0000-0002-4371-9475"},"institutions":[{"id":"https://openalex.org/I190409851","display_name":"Kun Shan University","ror":"https://ror.org/01gzkdv90","country_code":"TW","type":"education","lineage":["https://openalex.org/I190409851"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chao-Ming Huang","raw_affiliation_strings":["Dept. of Electrical Engineering, Kun Shan University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Kun Shan University, Tainan, Taiwan","institution_ids":["https://openalex.org/I190409851"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102104327","display_name":"Yann\u2010Chang Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I91951123","display_name":"Cheng Shiu University","ror":"https://ror.org/011bdtx65","country_code":"TW","type":"education","lineage":["https://openalex.org/I91951123"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yann-Chang Huang","raw_affiliation_strings":["Dept. of Electrical Engineering, Cheng Shiu University, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Cheng Shiu University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I91951123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112414447","display_name":"Kun-Yuan Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I91951123","display_name":"Cheng Shiu University","ror":"https://ror.org/011bdtx65","country_code":"TW","type":"education","lineage":["https://openalex.org/I91951123"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kun-Yuan Huang","raw_affiliation_strings":["Dept. of Electrical Engineering, Cheng Shiu University, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Cheng Shiu University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I91951123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021417164","display_name":"Shin\u2010Ju Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I190409851","display_name":"Kun Shan University","ror":"https://ror.org/01gzkdv90","country_code":"TW","type":"education","lineage":["https://openalex.org/I190409851"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shin-Ju Chen","raw_affiliation_strings":["Dept. of Electrical Engineering, Kun Shan University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Kun Shan University, Tainan, Taiwan","institution_ids":["https://openalex.org/I190409851"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014550845","display_name":"Sung\u2010Pei Yang","orcid":"https://orcid.org/0000-0002-8856-872X"},"institutions":[{"id":"https://openalex.org/I190409851","display_name":"Kun Shan University","ror":"https://ror.org/01gzkdv90","country_code":"TW","type":"education","lineage":["https://openalex.org/I190409851"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Sung-Pei Yang","raw_affiliation_strings":["Dept. of Electrical Engineering, Kun Shan University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Kun Shan University, Tainan, Taiwan","institution_ids":["https://openalex.org/I190409851"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5109830810"],"corresponding_institution_ids":["https://openalex.org/I190409851"],"apc_list":null,"apc_paid":null,"fwci":0.7167,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.72226292,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"400","last_page":"405"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":1.0,"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":1.0,"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/T10424","display_name":"Electric Power System Optimization","score":0.9940000176429749,"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/T11941","display_name":"Power System Reliability and Maintenance","score":0.9726999998092651,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/probabilistic-forecasting","display_name":"Probabilistic forecasting","score":0.8621429800987244},{"id":"https://openalex.org/keywords/wind-power-forecasting","display_name":"Wind power forecasting","score":0.7836279273033142},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7208653688430786},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.6863199472427368},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5818528532981873},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5706963539123535},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.5360610485076904},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4572945833206177},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44914746284484863},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.4269155263900757},{"id":"https://openalex.org/keywords/numerical-weather-prediction","display_name":"Numerical weather prediction","score":0.4159241318702698},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4155215322971344},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.4142526090145111},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27356016635894775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25847330689430237},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.24436601996421814},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.23355337977409363},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.2323300540447235},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19031161069869995},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15955984592437744}],"concepts":[{"id":"https://openalex.org/C122282355","wikidata":"https://www.wikidata.org/wiki/Q7246855","display_name":"Probabilistic forecasting","level":3,"score":0.8621429800987244},{"id":"https://openalex.org/C2781084341","wikidata":"https://www.wikidata.org/wiki/Q2583670","display_name":"Wind power forecasting","level":4,"score":0.7836279273033142},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7208653688430786},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.6863199472427368},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5818528532981873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5706963539123535},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.5360610485076904},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4572945833206177},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44914746284484863},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.4269155263900757},{"id":"https://openalex.org/C147947694","wikidata":"https://www.wikidata.org/wiki/Q837552","display_name":"Numerical weather prediction","level":2,"score":0.4159241318702698},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4155215322971344},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.4142526090145111},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27356016635894775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25847330689430237},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.24436601996421814},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.23355337977409363},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.2323300540447235},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19031161069869995},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15955984592437744},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icit.2017.7913264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit.2017.7913264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Industrial Technology (ICIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W78931549","https://openalex.org/W373046421","https://openalex.org/W1990517717","https://openalex.org/W1993885071","https://openalex.org/W2010059576","https://openalex.org/W2051086873","https://openalex.org/W2077031811","https://openalex.org/W2102836090","https://openalex.org/W2114471530","https://openalex.org/W2121067351","https://openalex.org/W2127971792","https://openalex.org/W2149906128","https://openalex.org/W2150593711","https://openalex.org/W2153263933","https://openalex.org/W2584379821","https://openalex.org/W4239510810","https://openalex.org/W4241653265"],"related_works":["https://openalex.org/W2885078783","https://openalex.org/W4379528680","https://openalex.org/W2607339923","https://openalex.org/W3133386668","https://openalex.org/W2321107782","https://openalex.org/W3125211436","https://openalex.org/W4387005524","https://openalex.org/W4251651833","https://openalex.org/W3154371796","https://openalex.org/W2901316757"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,29,106,161],"hybrid":[4],"method":[5,142,169],"for":[6,86,102,118,150],"probabilistic":[7,21,155],"wind":[8,43,47,59,92,115,163],"power":[9,44,116,164],"forecasting.":[10],"The":[11],"proposed":[12,168],"approach":[13],"consists":[14],"of":[15,42,124],"data":[16,26,68],"classification,":[17],"deterministic":[18,71],"forecasting":[19,22,72,108,135,156,172],"and":[20,174],"stages.":[23],"In":[24],"the":[25,38,66,70,84,91,129,147,154,167],"classification":[27],"stage,":[28],"fuzzy":[30],"k-means":[31],"clustering":[32],"algorithm":[33,79],"is":[34,80,110,132,143],"used":[35,112,144],"to":[36,57,64,82,113,145],"classify":[37],"historical":[39],"time":[40],"series":[41],"into":[45],"various":[46],"classes.":[48],"Several":[49],"support":[50],"vector":[51],"regression":[52,140],"(SVR)":[53],"models":[54],"that":[55,131],"correspond":[56],"diverse":[58],"speeds":[60],"are":[61],"then":[62,111],"established":[63],"train":[65],"collected":[67],"in":[69,122,153],"stage.":[73,157],"An":[74],"enhanced":[75],"harmony":[76],"search":[77],"(EHS)":[78],"presented":[81],"estimate":[83],"parameters":[85],"each":[87],"SVR":[88],"model.":[89],"Using":[90],"speed":[93],"forecasts":[94,117],"given":[95],"by":[96],"Taiwan":[97],"Central":[98],"Weather":[99],"Bureau":[100],"(TCWB)":[101],"every":[103],"three":[104],"hours,":[105],"corresponding":[107],"model":[109],"produce":[114],"future":[119],"3":[120],"hours":[121],"steps":[123],"15":[125],"minutes.":[126],"To":[127],"assess":[128],"risk":[130],"associated":[133],"with":[134],"errors,":[136],"an":[137],"EHS-based":[138],"quantile":[139],"(QR)":[141],"provide":[146],"confidence":[148,178],"intervals":[149,179],"forecasted":[151],"values":[152],"During":[158],"testing":[159],"on":[160],"practical":[162],"generation":[165],"systems,":[166],"gives":[170],"better":[171],"accuracy":[173],"produces":[175],"more":[176],"reasonable":[177],"than":[180],"existing":[181],"methods.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}