{"id":"https://openalex.org/W2081297263","doi":"https://doi.org/10.1109/ciasg.2011.5953332","title":"Higher Order Wavelet Neural Networks with Kalman learning for wind speed forecasting","display_name":"Higher Order Wavelet Neural Networks with Kalman learning for wind speed forecasting","publication_year":2011,"publication_date":"2011-04-01","ids":{"openalex":"https://openalex.org/W2081297263","doi":"https://doi.org/10.1109/ciasg.2011.5953332","mag":"2081297263"},"language":"en","primary_location":{"id":"doi:10.1109/ciasg.2011.5953332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciasg.2011.5953332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Symposium on Computational Intelligence Applications In Smart Grid (CIASG)","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/A5087903272","display_name":"Luis J. Ricalde","orcid":"https://orcid.org/0000-0001-5824-1454"},"institutions":[{"id":"https://openalex.org/I23878562","display_name":"Autonomous University of Yucat\u00e1n","ror":"https://ror.org/032p1n739","country_code":"MX","type":"education","lineage":["https://openalex.org/I23878562"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Luis J. Ricalde","raw_affiliation_strings":["Faculty of Engineering, Universidad Autonoma de Yucatan, Merida, Yucatan, Mexico","UADY, Faculty of Engineering, Apdo. Postal 115, Cordemex, Merida, Yucatan, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Universidad Autonoma de Yucatan, Merida, Yucatan, Mexico","institution_ids":["https://openalex.org/I23878562"]},{"raw_affiliation_string":"UADY, Faculty of Engineering, Apdo. Postal 115, Cordemex, Merida, Yucatan, Mexico","institution_ids":["https://openalex.org/I23878562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111621889","display_name":"Glendy A. Catzin","orcid":null},"institutions":[{"id":"https://openalex.org/I23878562","display_name":"Autonomous University of Yucat\u00e1n","ror":"https://ror.org/032p1n739","country_code":"MX","type":"education","lineage":["https://openalex.org/I23878562"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Glendy A. Catzin","raw_affiliation_strings":["Faculty of Engineering, Universidad Autonoma de Yucatan, Merida, Yucatan, Mexico","UADY, Faculty of Engineering, Apdo. Postal 115, Cordemex, Merida, Yucatan, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Universidad Autonoma de Yucatan, Merida, Yucatan, Mexico","institution_ids":["https://openalex.org/I23878562"]},{"raw_affiliation_string":"UADY, Faculty of Engineering, Apdo. Postal 115, Cordemex, Merida, Yucatan, Mexico","institution_ids":["https://openalex.org/I23878562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004231492","display_name":"Alma Y. Alan\u00eds","orcid":"https://orcid.org/0000-0001-9600-779X"},"institutions":[{"id":"https://openalex.org/I193181351","display_name":"Universidad de Guadalajara","ror":"https://ror.org/043xj7k26","country_code":"MX","type":"education","lineage":["https://openalex.org/I193181351"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Alma Y. Alanis","raw_affiliation_strings":["CUCEI, Universidad de Guadalajara, Zapopan, Jalisco, Mexico","CUCEI, Universidad de Guadalajara, Apdo. Postal 51-71, 45080, Zapopan, Jalisco, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CUCEI, Universidad de Guadalajara, Zapopan, Jalisco, Mexico","institution_ids":["https://openalex.org/I193181351"]},{"raw_affiliation_string":"CUCEI, Universidad de Guadalajara, Apdo. Postal 51-71, 45080, Zapopan, Jalisco, Mexico","institution_ids":["https://openalex.org/I193181351"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067597688","display_name":"Edgar N. S\u00e1nchez","orcid":"https://orcid.org/0000-0002-8695-7879"},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Centro de Investigaci\u00f3n y de Estudios Avanzados del Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Edgar N. Sanchez","raw_affiliation_strings":["CINVESTAV, Unidad Guadalajara, Guadalajara, Jalisco, Mexico","CINVESTAV, Unidad Guadalajara, Apdo. Postal 31-438, Plaza La Luna, Guadalajara, Jalisco, C.P. 45091, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CINVESTAV, Unidad Guadalajara, Guadalajara, Jalisco, Mexico","institution_ids":["https://openalex.org/I68368234"]},{"raw_affiliation_string":"CINVESTAV, Unidad Guadalajara, Apdo. Postal 31-438, Plaza La Luna, Guadalajara, Jalisco, C.P. 45091, Mexico","institution_ids":["https://openalex.org/I68368234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1624,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.88426164,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9969000220298767,"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":0.9898999929428101,"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/kalman-filter","display_name":"Kalman filter","score":0.7689752578735352},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6682189702987671},{"id":"https://openalex.org/keywords/sigmoid-function","display_name":"Sigmoid function","score":0.6484691500663757},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.6294663548469543},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6036713123321533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5974569916725159},{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.5953333377838135},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.5657657384872437},{"id":"https://openalex.org/keywords/lipschitz-continuity","display_name":"Lipschitz continuity","score":0.45020735263824463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43103471398353577},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.43089812994003296},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4117928445339203},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38811761140823364},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33774855732917786},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2754998207092285},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08212974667549133},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.06556522846221924}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7689752578735352},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6682189702987671},{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.6484691500663757},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.6294663548469543},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6036713123321533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5974569916725159},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.5953333377838135},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.5657657384872437},{"id":"https://openalex.org/C22324862","wikidata":"https://www.wikidata.org/wiki/Q652707","display_name":"Lipschitz continuity","level":2,"score":0.45020735263824463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43103471398353577},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.43089812994003296},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4117928445339203},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38811761140823364},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33774855732917786},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2754998207092285},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08212974667549133},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.06556522846221924},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciasg.2011.5953332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciasg.2011.5953332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Symposium on Computational Intelligence Applications In Smart Grid (CIASG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9100000262260437}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321739","display_name":"Consejo Nacional de Ciencia y Tecnolog\u00eda","ror":"https://ror.org/059ex5q34"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W7603647","https://openalex.org/W1486045064","https://openalex.org/W1490441317","https://openalex.org/W1581808154","https://openalex.org/W1950994177","https://openalex.org/W1980418485","https://openalex.org/W1996089921","https://openalex.org/W2016589492","https://openalex.org/W2025785406","https://openalex.org/W2030652829","https://openalex.org/W2050038283","https://openalex.org/W2085555526","https://openalex.org/W2110662889","https://openalex.org/W2112462566","https://openalex.org/W2115790233","https://openalex.org/W2137226063","https://openalex.org/W2140594587","https://openalex.org/W2151506355","https://openalex.org/W2158671777","https://openalex.org/W2162331448","https://openalex.org/W2293747114","https://openalex.org/W6600311687","https://openalex.org/W6629424363","https://openalex.org/W6676666932","https://openalex.org/W6676789009","https://openalex.org/W6680404750"],"related_works":["https://openalex.org/W2032258609","https://openalex.org/W3024979424","https://openalex.org/W4283785902","https://openalex.org/W3032499992","https://openalex.org/W2041004593","https://openalex.org/W3134817226","https://openalex.org/W2895192346","https://openalex.org/W3110577345","https://openalex.org/W3136579697","https://openalex.org/W2811324119"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,62],"Higher":[4],"Order":[5],"Wavelet":[6],"Neural":[7,26],"Network":[8,27],"(HOWNN)":[9],"trained":[10,116],"with":[11,61],"an":[12,58],"Extended":[13],"Kalman":[14,67],"Filter":[15],"(EKF)":[16],"is":[17,30,71,88,115],"implemented":[18],"to":[19,73],"solve":[20],"the":[21,37,51,75,79,85,93,103,107],"wind":[22,108,121],"forecasting":[23],"problem.":[24],"The":[25,82,97,112],"based":[28,69],"scheme":[29],"composed":[31],"of":[32,78,84,92,106],"high":[33],"order":[34],"terms":[35],"in":[36],"input":[38],"layer,":[39],"two":[40],"hidden":[41],"layers,":[42],"one":[43],"incorporating":[44],"radial":[45],"wavelets":[46],"as":[47],"activation":[48,64],"functions":[49],"and":[50,57,117],"other":[52],"using":[53,119],"classical":[54],"logistic":[55],"sigmoid,":[56],"output":[59],"layer":[60],"linear":[63],"function.":[65],"A":[66],"filter":[68],"algorithm":[70],"employed":[72],"update":[74],"synaptic":[76],"weights":[77],"wavelet":[80],"network.":[81],"size":[83],"regression":[86],"vector":[87],"determined":[89],"by":[90],"means":[91],"Lipschitz":[94],"quotients":[95],"method.":[96],"proposed":[98,113],"structure":[99],"captures":[100],"more":[101],"efficiently":[102],"complex":[104],"nature":[105],"speed":[109,122],"time":[110],"series.":[111],"model":[114],"tested":[118],"real":[120],"data":[123],"values.":[124]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}