{"id":"https://openalex.org/W2026758620","doi":"https://doi.org/10.1109/smc.2014.6973926","title":"Wind power forecasting using emotional neural networks","display_name":"Wind power forecasting using emotional neural networks","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2026758620","doi":"https://doi.org/10.1109/smc.2014.6973926","mag":"2026758620"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2014.6973926","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2014.6973926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Wind_power_forecasting_using_emotional_neural_networks/20909272","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046964566","display_name":"Ehsan Lotfi","orcid":"https://orcid.org/0000-0001-6427-0825"},"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":true,"raw_author_name":"Ehsan Lotfi","raw_affiliation_strings":["Department of Computer Engineering, Islamic Azad University, Torbat-e-Jam, Iran","Department of Computer Engineering, Torbat-e-Jam Branch, Islamic Azad University, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Islamic Azad University, Torbat-e-Jam, Iran","institution_ids":["https://openalex.org/I110525433"]},{"raw_affiliation_string":"Department of Computer Engineering, Torbat-e-Jam Branch, Islamic Azad University, Iran","institution_ids":["https://openalex.org/I110525433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059557438","display_name":"Abbas Khosravi","orcid":"https://orcid.org/0000-0001-6927-0744"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Abbas Khosravi","raw_affiliation_strings":["Center for Intelligence Systems Research, Deakin University, Geelong, Australia","Center for Intelligence Systems Research, Deakin University, Geelong 3217, Australia"],"affiliations":[{"raw_affiliation_string":"Center for Intelligence Systems Research, Deakin University, Geelong, Australia","institution_ids":["https://openalex.org/I149704539"]},{"raw_affiliation_string":"Center for Intelligence Systems Research, Deakin University, Geelong 3217, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103454918","display_name":"M-R. Akbarzadeh-T","orcid":null},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"M-R. Akbarzadeh-T","raw_affiliation_strings":["Center of Excellence on Soft Computing and Intelligent Information Processing, Ferdowsi University of Mashhad, Iran","Center of Excellence on Soft Computing and Intelligent Information Processing, Departments of Electrical and Computer Engineering, Ferdowsi University of Mashhad, Iran"],"affiliations":[{"raw_affiliation_string":"Center of Excellence on Soft Computing and Intelligent Information Processing, Ferdowsi University of Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]},{"raw_affiliation_string":"Center of Excellence on Soft Computing and Intelligent Information Processing, Departments of Electrical and Computer Engineering, Ferdowsi University of Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015293969","display_name":"Saeid Nahavandi","orcid":"https://orcid.org/0000-0002-0360-5270"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Saeid Nahavandi","raw_affiliation_strings":["Alfred Deakin Professor, Deakin University, Waurn Ponds, Victoria, Australia","Centre for Intelligent Systems Research, Deakin University, 75, Pigdons Road, Waurn Ponds, Victoria 3216, Australia"],"affiliations":[{"raw_affiliation_string":"Alfred Deakin Professor, Deakin University, Waurn Ponds, Victoria, Australia","institution_ids":["https://openalex.org/I149704539"]},{"raw_affiliation_string":"Centre for Intelligent Systems Research, Deakin University, 75, Pigdons Road, Waurn Ponds, Victoria 3216, Australia","institution_ids":["https://openalex.org/I149704539"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5046964566"],"corresponding_institution_ids":["https://openalex.org/I110525433"],"apc_list":null,"apc_paid":null,"fwci":1.0619,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.80292487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"311","last_page":"316"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9998000264167786,"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":0.9998000264167786,"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/T10320","display_name":"Neural Networks and Applications","score":0.9926000237464905,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9921000003814697,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.790486216545105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6764124035835266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6353112459182739},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5807986259460449},{"id":"https://openalex.org/keywords/neurophysiology","display_name":"Neurophysiology","score":0.5246639251708984},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5069715976715088},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4940696060657501},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.48197072744369507},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.47813451290130615},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4360004663467407},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.4349457025527954},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.42746254801750183},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17954331636428833},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09171685576438904},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08976808190345764}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.790486216545105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6764124035835266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6353112459182739},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5807986259460449},{"id":"https://openalex.org/C152478114","wikidata":"https://www.wikidata.org/wiki/Q660910","display_name":"Neurophysiology","level":2,"score":0.5246639251708984},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5069715976715088},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4940696060657501},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.48197072744369507},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.47813451290130615},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4360004663467407},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.4349457025527954},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.42746254801750183},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17954331636428833},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09171685576438904},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08976808190345764},{"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},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":3,"locations":[{"id":"doi:10.1109/smc.2014.6973926","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2014.6973926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30072539","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402457","display_name":"Deakin Research Online (Deakin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:figshare.com:article/20909272","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Wind_power_forecasting_using_emotional_neural_networks/20909272","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20909272","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Wind_power_forecasting_using_emotional_neural_networks/20909272","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8899999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1977920672","https://openalex.org/W1979296470","https://openalex.org/W1987302169","https://openalex.org/W1993261349","https://openalex.org/W1993850015","https://openalex.org/W1997267722","https://openalex.org/W2032345561","https://openalex.org/W2042515375","https://openalex.org/W2065005304","https://openalex.org/W2066409779","https://openalex.org/W2068928057","https://openalex.org/W2073040595","https://openalex.org/W2074490934","https://openalex.org/W2078918225","https://openalex.org/W2079995124","https://openalex.org/W2084784306","https://openalex.org/W2089511850","https://openalex.org/W2091474959","https://openalex.org/W2091630872","https://openalex.org/W2097811305","https://openalex.org/W2104479686","https://openalex.org/W2104504458","https://openalex.org/W2107056293","https://openalex.org/W2115193923","https://openalex.org/W2119368976","https://openalex.org/W2125336244","https://openalex.org/W2126709108","https://openalex.org/W2132477882","https://openalex.org/W2133100867","https://openalex.org/W2146588145","https://openalex.org/W2147409733","https://openalex.org/W2151767444","https://openalex.org/W2156777444","https://openalex.org/W2158553737","https://openalex.org/W2159394210","https://openalex.org/W2602582143","https://openalex.org/W2613529509","https://openalex.org/W3147024458","https://openalex.org/W3152456276","https://openalex.org/W4236835687","https://openalex.org/W4253372283","https://openalex.org/W6608787115","https://openalex.org/W6670375015","https://openalex.org/W6672634870"],"related_works":["https://openalex.org/W2915014248","https://openalex.org/W63251931","https://openalex.org/W2158956744","https://openalex.org/W4205472207","https://openalex.org/W2094578634","https://openalex.org/W2557657611","https://openalex.org/W4310675391","https://openalex.org/W2397358217","https://openalex.org/W2413258718","https://openalex.org/W2398457135"],"abstract_inverted_index":{"Emotional":[0],"neural":[1,86],"network":[2,87],"(ENN)":[3],"is":[4,18,41,58,89],"a":[5,64],"recently":[6],"developed":[7,33],"methodology":[8],"that":[9],"uses":[10],"simulated":[11],"emotions":[12],"aiding":[13],"its":[14],"learning":[15],"process.":[16],"ENN":[17,57,101],"motivated":[19],"by":[20],"neurophysiological":[21],"knowledge":[22],"of":[23,46,50,54,66,100,106],"the":[24,55,98],"human's":[25],"emotional":[26],"brain.":[27],"In":[28],"this":[29],"paper,":[30],"ENNs":[31],"are":[32],"and":[34,70,73,108],"examined":[35,59],"for":[36,43,63,92],"prediction":[37],"tasks.":[38],"Genetic":[39],"algorithm":[40],"applied":[42],"optimal":[44],"tuning":[45],"crisp":[47],"numerical":[48],"parameters":[49],"ENN.":[51],"The":[52],"performance":[53],"proposed":[56],"using":[60],"data":[61],"sets":[62],"couple":[65],"synthetic":[67],"(with":[68],"constant":[69],"variable":[71],"noise)":[72],"real":[74],"world":[75],"(wind":[76],"farm":[77],"power":[78],"generation":[79],"data)":[80],"case":[81],"studies.":[82],"A":[83],"traditional":[84],"artificial":[85],"(ANN)":[88],"also":[90],"implemented":[91],"comparison":[93],"purposes.":[94],"Numerical":[95],"results":[96],"indicate":[97],"superiority":[99],"over":[102],"ANN":[103],"in":[104],"terms":[105],"accuracy":[107],"stability.":[109]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}