{"id":"https://openalex.org/W3000951064","doi":"https://doi.org/10.1109/jsyst.2019.2961172","title":"A New Combinatory Approach for Wind Power Forecasting","display_name":"A New Combinatory Approach for Wind Power Forecasting","publication_year":2020,"publication_date":"2020-01-21","ids":{"openalex":"https://openalex.org/W3000951064","doi":"https://doi.org/10.1109/jsyst.2019.2961172","mag":"3000951064"},"language":"en","primary_location":{"id":"doi:10.1109/jsyst.2019.2961172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2019.2961172","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Systems Journal","raw_type":"journal-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/A5101539674","display_name":"Oveis Abedinia","orcid":"https://orcid.org/0000-0003-2303-8653"},"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":"Oveis Abedinia","raw_affiliation_strings":["Electrical and Computer Engineering Department, Nazarbayev University, Nursultan, Kazakhstan","National Laboratory Astana, Nursultan, Kazakhstan"],"raw_orcid":"https://orcid.org/0000-0003-2303-8653","affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Nazarbayev University, Nursultan, Kazakhstan","institution_ids":["https://openalex.org/I60559429"]},{"raw_affiliation_string":"National Laboratory Astana, Nursultan, Kazakhstan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040772749","display_name":"Mehdi Bagheri","orcid":"https://orcid.org/0000-0002-8078-9173"},"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":"Mehdi Bagheri","raw_affiliation_strings":["Electrical and Computer Engineering Department, Nazarbayev University, Nursultan, Kazakhstan","National Laboratory Astana, Nursultan, Kazakhstan"],"raw_orcid":"https://orcid.org/0000-0002-8078-9173","affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Nazarbayev University, Nursultan, Kazakhstan","institution_ids":["https://openalex.org/I60559429"]},{"raw_affiliation_string":"National Laboratory Astana, Nursultan, Kazakhstan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039968983","display_name":"Mohammad Salay Naderi","orcid":"https://orcid.org/0000-0001-7187-3608"},"institutions":[{"id":"https://openalex.org/I110525433","display_name":"Islamic Azad University, Tehran","ror":"https://ror.org/01kzn7k21","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Salay Naderi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Islamic Azad University, Tehran, Iran"],"raw_orcid":"https://orcid.org/0000-0001-7187-3608","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Islamic Azad University, Tehran, Iran","institution_ids":["https://openalex.org/I110525433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002921800","display_name":"Noradin Ghadimi","orcid":"https://orcid.org/0000-0003-1864-7446"},"institutions":[{"id":"https://openalex.org/I4210161716","display_name":"Islamic Azad University Ardabil","ror":"https://ror.org/058np3c43","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I4210161716"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Noradin Ghadimi","raw_affiliation_strings":["Young Researchers and Elite Club, Islamic Azad University, Ardabil, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Young Researchers and Elite Club, Islamic Azad University, Ardabil, Iran","institution_ids":["https://openalex.org/I4210161716"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101539674"],"corresponding_institution_ids":["https://openalex.org/I60559429"],"apc_list":null,"apc_paid":null,"fwci":4.9935,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.95972164,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"14","issue":"3","first_page":"4614","last_page":"4625"},"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":0.9973999857902527,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9921000003814697,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5912407040596008},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5384660959243774},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5184795260429382},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.4521496593952179},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.42003217339515686},{"id":"https://openalex.org/keywords/numerical-weather-prediction","display_name":"Numerical weather prediction","score":0.4104844033718109},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3773062825202942},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3653644919395447},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.31264418363571167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3007828891277313},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26443517208099365}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5912407040596008},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5384660959243774},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5184795260429382},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.4521496593952179},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.42003217339515686},{"id":"https://openalex.org/C147947694","wikidata":"https://www.wikidata.org/wiki/Q837552","display_name":"Numerical weather prediction","level":2,"score":0.4104844033718109},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3773062825202942},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3653644919395447},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.31264418363571167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3007828891277313},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26443517208099365},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","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/jsyst.2019.2961172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2019.2961172","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Systems Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1593835277","https://openalex.org/W1983335411","https://openalex.org/W1994170512","https://openalex.org/W2000867295","https://openalex.org/W2006848839","https://openalex.org/W2044735270","https://openalex.org/W2048340369","https://openalex.org/W2066341465","https://openalex.org/W2110913304","https://openalex.org/W2121067351","https://openalex.org/W2128213857","https://openalex.org/W2130019472","https://openalex.org/W2150180277","https://openalex.org/W2153263933","https://openalex.org/W2156137024","https://openalex.org/W2156330101","https://openalex.org/W2159878099","https://openalex.org/W2222497113","https://openalex.org/W2342107842","https://openalex.org/W2414286627","https://openalex.org/W2524042169","https://openalex.org/W2569183511","https://openalex.org/W2569241116","https://openalex.org/W2581125335","https://openalex.org/W2586972179","https://openalex.org/W2605224847","https://openalex.org/W2606817745","https://openalex.org/W2736413715","https://openalex.org/W2761561821","https://openalex.org/W2793408387","https://openalex.org/W2794003153","https://openalex.org/W2889536175","https://openalex.org/W2892004704","https://openalex.org/W2910279921","https://openalex.org/W2915359362","https://openalex.org/W2915806950","https://openalex.org/W2944161335","https://openalex.org/W2945236236","https://openalex.org/W2954141803","https://openalex.org/W6749816680"],"related_works":["https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2902714807","https://openalex.org/W2537489131","https://openalex.org/W2394084632","https://openalex.org/W2358293514","https://openalex.org/W2046633342","https://openalex.org/W2537610172","https://openalex.org/W2077021924"],"abstract_inverted_index":{"Wind":[0],"power":[1,179],"generation":[2],"is":[3,12,36,98,167,185],"considerably":[4],"dependent":[5],"on":[6,70,119],"the":[7,16,26,43,61,71,81,85,130,136,140,152,156,163,177,188,192,211,217],"weather":[8],"condition":[9],"and":[10,21,40,76,83,89,112,147,170,191,201,206,214],"it":[11],"correlated":[13],"closely":[14],"with":[15,42,54,94],"air":[17],"density,":[18],"wind":[19],"speed,":[20],"its":[22],"direction":[23],"through":[24],"considering":[25],"transformer":[27],"tap":[28],"change":[29],"cost.":[30],"Therefore,":[31],"an":[32,49],"accurate":[33,50],"prediction":[34,51,137,165,174],"model":[35,190],"required":[37],"to":[38,59,64,79,134,172],"forecast":[39,141],"adopt":[41],"complicated":[44],"signals.":[45],"In":[46],"this":[47],"article,":[48],"method":[52,102],"trained":[53,113,189],"improved":[55,115,125],"wavelet":[56],"transform":[57],"(IWT)":[58],"decompose":[60],"original":[62],"signal":[63,82],"subsignals,":[65],"new":[66],"feature":[67],"selection":[68],"based":[69,118],"maximum":[72,74],"dependence,":[73],"relevancy,":[75],"minimum":[77,95],"redundancy":[78],"filter":[80],"select":[84],"best":[86],"candidate":[87],"inputs":[88],"a":[90],"synthetic":[91],"forecasting":[92,96,104,208],"engine":[93,105],"error":[97],"proposed.":[99],"The":[100,123,143,160],"proposed":[101,124,157],"of":[103,132,139,155,162,216],"composed":[106],"two-dimensional":[107],"convolution":[108],"neural":[109],"network":[110],"(TDCNN)":[111],"by":[114],"optimization":[116,126,145],"algorithm":[117,127],"particle":[120],"swarm":[121],"optimization.":[122],"will":[128],"fine-tune":[129],"weights":[131],"TDCNN":[133],"increase":[135],"accuracy":[138],"engine.":[142],"training":[144],"processes":[146],"effectual":[148],"fast":[149],"classification":[150],"are":[151,194],"main":[153],"duty":[154],"intelligent":[158],"algorithm.":[159],"efficiency":[161],"suggested":[164],"approach":[166],"widely":[168],"evaluated":[169],"compared":[171],"other":[173],"approaches":[175],"using":[176],"practical":[178],"market":[180],"data.":[181],"A":[182],"simulation":[183],"study":[184],"conducted":[186],"over":[187],"results":[193,200],"discussed":[195],"in":[196,204],"detail.":[197],"Obtained":[198],"numerical":[199],"also":[202],"analysis":[203],"short-term":[205],"long-term":[207],"horizons":[209],"validate":[210],"high":[212],"performance":[213],"advantages":[215],"introduced":[218],"approach.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
