{"id":"https://openalex.org/W4400038278","doi":"https://doi.org/10.1007/s40815-024-01773-5","title":"Forecasting Turkey\u2019s Primary Energy Demand Based on Fuzzy Auto-regressive Distributed Lag Models with Symmetric and Non-symmetric Triangular Coefficients","display_name":"Forecasting Turkey\u2019s Primary Energy Demand Based on Fuzzy Auto-regressive Distributed Lag Models with Symmetric and Non-symmetric Triangular Coefficients","publication_year":2024,"publication_date":"2024-06-26","ids":{"openalex":"https://openalex.org/W4400038278","doi":"https://doi.org/10.1007/s40815-024-01773-5"},"language":"en","primary_location":{"id":"doi:10.1007/s40815-024-01773-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40815-024-01773-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40815-024-01773-5.pdf","source":{"id":"https://openalex.org/S18792341","display_name":"International Journal of Fuzzy Systems","issn_l":"1562-2479","issn":["1562-2479","2199-3211"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Fuzzy Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s40815-024-01773-5.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009018295","display_name":"Mira\u00e7 Eren","orcid":"https://orcid.org/0000-0002-5150-9144"},"institutions":[{"id":"https://openalex.org/I227306068","display_name":"Ondokuz May\u0131s University","ror":"https://ror.org/028k5qw24","country_code":"TR","type":"education","lineage":["https://openalex.org/I227306068"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Mira\u00e7 Eren","raw_affiliation_strings":["The Faculty of Economics and Administrative Sciences, Ondokuz Mayis University, Samsun, Turkey"],"affiliations":[{"raw_affiliation_string":"The Faculty of Economics and Administrative Sciences, Ondokuz Mayis University, Samsun, Turkey","institution_ids":["https://openalex.org/I227306068"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012437460","display_name":"Bernard De Baets","orcid":"https://orcid.org/0000-0002-3876-620X"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Bernard De Baets","raw_affiliation_strings":["The Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"The Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009018295"],"corresponding_institution_ids":["https://openalex.org/I227306068"],"apc_list":{"value":2690,"currency":"EUR","value_usd":3490},"apc_paid":{"value":2690,"currency":"EUR","value_usd":3490},"fwci":0.2125,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.491856,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"27","issue":"1","first_page":"237","last_page":"249"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9988999962806702,"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":0.9988999962806702,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12368","display_name":"Grey System Theory Applications","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/distributed-lag","display_name":"Distributed lag","score":0.6728904843330383},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.638043224811554},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6027148962020874},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5720388293266296},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.56666499376297},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.525208055973053},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4655742347240448},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.46407702565193176},{"id":"https://openalex.org/keywords/lag","display_name":"Lag","score":0.4636479616165161},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.41927313804626465},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4177221357822418},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4165583550930023},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.276528924703598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22856032848358154},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2277936339378357},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15011700987815857},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09501829743385315},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.094931960105896}],"concepts":[{"id":"https://openalex.org/C159009313","wikidata":"https://www.wikidata.org/wiki/Q5283159","display_name":"Distributed lag","level":2,"score":0.6728904843330383},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.638043224811554},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6027148962020874},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5720388293266296},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.56666499376297},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.525208055973053},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4655742347240448},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.46407702565193176},{"id":"https://openalex.org/C75778745","wikidata":"https://www.wikidata.org/wiki/Q342626","display_name":"Lag","level":2,"score":0.4636479616165161},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.41927313804626465},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4177221357822418},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4165583550930023},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.276528924703598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22856032848358154},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2277936339378357},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15011700987815857},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09501829743385315},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.094931960105896},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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:10.1007/s40815-024-01773-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40815-024-01773-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40815-024-01773-5.pdf","source":{"id":"https://openalex.org/S18792341","display_name":"International Journal of Fuzzy Systems","issn_l":"1562-2479","issn":["1562-2479","2199-3211"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Fuzzy Systems","raw_type":"journal-article"},{"id":"pmh:oai:archive.ugent.be:01JN65T452GJKHC29E9V6JKJ7Q","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-01JN65T452GJKHC29E9V6JKJ7Q","pdf_url":"https://biblio.ugent.be/publication/01JN65T452GJKHC29E9V6JKJ7Q/file/01JN65VTEPQE16PFH1QGADVHW9.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN: 2199-3211","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1007/s40815-024-01773-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40815-024-01773-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40815-024-01773-5.pdf","source":{"id":"https://openalex.org/S18792341","display_name":"International Journal of Fuzzy Systems","issn_l":"1562-2479","issn":["1562-2479","2199-3211"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Fuzzy Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8899999856948853,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G1281452612","display_name":null,"funder_award_id":"2219","funder_id":"https://openalex.org/F4320322626","funder_display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu"}],"funders":[{"id":"https://openalex.org/F4320322626","display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu","ror":"https://ror.org/04w9kkr77"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400038278.pdf"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1544274373","https://openalex.org/W1977326290","https://openalex.org/W1990780534","https://openalex.org/W1999163821","https://openalex.org/W2003436252","https://openalex.org/W2004759087","https://openalex.org/W2006727531","https://openalex.org/W2014145878","https://openalex.org/W2023948527","https://openalex.org/W2024355048","https://openalex.org/W2046307773","https://openalex.org/W2065942227","https://openalex.org/W2071151783","https://openalex.org/W2116512828","https://openalex.org/W2151584114","https://openalex.org/W2172916244","https://openalex.org/W2756284296","https://openalex.org/W2959101608","https://openalex.org/W2968458585","https://openalex.org/W3130453397","https://openalex.org/W3205227054","https://openalex.org/W4206189171","https://openalex.org/W4238919913","https://openalex.org/W4281741362","https://openalex.org/W4312026766","https://openalex.org/W6774283536"],"related_works":["https://openalex.org/W2908923265","https://openalex.org/W3122746836","https://openalex.org/W3188065745","https://openalex.org/W3119065395","https://openalex.org/W4248922200","https://openalex.org/W4240701259","https://openalex.org/W2914628441","https://openalex.org/W2769171888","https://openalex.org/W2003759188","https://openalex.org/W4237056913"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"study":[2],"aims":[3],"to":[4,37,45,109,142],"guide":[5],"policymakers":[6],"in":[7,50,90],"allocating":[8],"resources":[9],"and":[10,25,31,55,76,104,135,145],"planning":[11],"for":[12],"the":[13,23,47,51,83,100,111,114,128,133],"future":[14],"by":[15,131],"consistently":[16],"estimating":[17],"energy":[18,28,52,61,68,122],"data":[19],"trends.":[20],"Because":[21],"of":[22,27,40,60,67],"complexity":[24],"uncertainty":[26],"demand":[29,53,69],"behavior":[30],"many":[32],"influencing":[33],"factors,":[34],"we":[35],"decide":[36],"take":[38],"advantage":[39],"a":[41,91],"fuzzy":[42,71,138],"regression":[43,139],"model":[44,117,130],"determine":[46],"actual":[48],"relationships":[49],"system":[54],"provide":[56],"an":[57],"accurate":[58],"forecast":[59],"demand.":[62],"For":[63],"this":[64],"purpose,":[65],"because":[66],"drivers,":[70],"possibilistic":[72,137],"approaches":[73],"with":[74,82,94],"symmetric":[75],"non-symmetric":[77],"triangular":[78],"coefficients":[79],"are":[80],"integrated":[81],"autoregressive":[84],"distributed":[85],"lag":[86],"(ARDL)":[87],"model,":[88],"each":[89],"time-series":[92],"format":[93],"feedback":[95],"mechanisms":[96],"inside.":[97],"After":[98],"regularizing":[99],"L1":[101],"(Lasso":[102],"regression)":[103,107],"L2":[105],"(ridge":[106],"metrics":[108],"minimize":[110],"overfitting":[112],"problem,":[113],"optimal":[115],"fuzzy-ARDL":[116],"is":[118,124],"obtained.":[119],"Turkey\u2019s":[120],"primary":[121],"consumption":[123],"projected":[125],"based":[126],"on":[127],"best":[129],"benchmarking":[132],"static":[134],"dynamic":[136],"models":[140],"according":[141],"their":[143],"training":[144],"test":[146],"values.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
