{"id":"https://openalex.org/W4401510049","doi":"https://doi.org/10.3390/computation12080163","title":"Short-Term Wind Speed Prediction via Sample Entropy: A Hybridisation Approach against Gradient Disappearance and Explosion","display_name":"Short-Term Wind Speed Prediction via Sample Entropy: A Hybridisation Approach against Gradient Disappearance and Explosion","publication_year":2024,"publication_date":"2024-08-12","ids":{"openalex":"https://openalex.org/W4401510049","doi":"https://doi.org/10.3390/computation12080163"},"language":"en","primary_location":{"id":"doi:10.3390/computation12080163","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computation12080163","pdf_url":null,"source":{"id":"https://openalex.org/S2738402919","display_name":"Computation","issn_l":"2079-3197","issn":["2079-3197"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/computation12080163","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011481910","display_name":"Khathutshelo Steven Sivhugwana","orcid":null},"institutions":[{"id":"https://openalex.org/I165390105","display_name":"University of South Africa","ror":"https://ror.org/048cwvf49","country_code":"ZA","type":"education","lineage":["https://openalex.org/I165390105"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Khathutshelo Steven Sivhugwana","raw_affiliation_strings":["Department of Statistics, University of South Africa, Florida Campus, Johannesburg 1709, South Africa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of South Africa, Florida Campus, Johannesburg 1709, South Africa","institution_ids":["https://openalex.org/I165390105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058438642","display_name":"Edmore Ranganai","orcid":null},"institutions":[{"id":"https://openalex.org/I165390105","display_name":"University of South Africa","ror":"https://ror.org/048cwvf49","country_code":"ZA","type":"education","lineage":["https://openalex.org/I165390105"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Edmore Ranganai","raw_affiliation_strings":["Department of Statistics, University of South Africa, Florida Campus, Johannesburg 1709, South Africa"],"raw_orcid":"https://orcid.org/0000-0002-2428-5405","affiliations":[{"raw_affiliation_string":"Department of Statistics, University of South Africa, Florida Campus, Johannesburg 1709, South Africa","institution_ids":["https://openalex.org/I165390105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011481910"],"corresponding_institution_ids":["https://openalex.org/I165390105"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":1.1993,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78978786,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"12","issue":"8","first_page":"163","last_page":"163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9991000294685364,"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":0.9991000294685364,"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/T11371","display_name":"Wind and Air Flow Studies","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11186","display_name":"Hydrology and Drought Analysis","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.691652774810791},{"id":"https://openalex.org/keywords/sample-entropy","display_name":"Sample entropy","score":0.48059555888175964},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4662289619445801},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.4614395499229431},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4193037748336792},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.4137970805168152},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3810501992702484},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36819183826446533},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.34037429094314575},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.32231223583221436},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2658843994140625},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.15949887037277222},{"id":"https://openalex.org/keywords/astronomy","display_name":"Astronomy","score":0.1143983006477356}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.691652774810791},{"id":"https://openalex.org/C66696666","wikidata":"https://www.wikidata.org/wiki/Q17105612","display_name":"Sample entropy","level":3,"score":0.48059555888175964},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4662289619445801},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.4614395499229431},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4193037748336792},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.4137970805168152},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3810501992702484},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36819183826446533},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34037429094314575},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.32231223583221436},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2658843994140625},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.15949887037277222},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.1143983006477356}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/computation12080163","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computation12080163","pdf_url":null,"source":{"id":"https://openalex.org/S2738402919","display_name":"Computation","issn_l":"2079-3197","issn":["2079-3197"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computation","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5dda29c1736d4dc895b7704d82bd14e2","is_oa":true,"landing_page_url":"https://doaj.org/article/5dda29c1736d4dc895b7704d82bd14e2","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computation, Vol 12, Iss 8, p 163 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/computation12080163","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computation12080163","pdf_url":null,"source":{"id":"https://openalex.org/S2738402919","display_name":"Computation","issn_l":"2079-3197","issn":["2079-3197"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computation","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1862394037","https://openalex.org/W1963014573","https://openalex.org/W1977654506","https://openalex.org/W1985395990","https://openalex.org/W1994637830","https://openalex.org/W2025720061","https://openalex.org/W2026750050","https://openalex.org/W2064675550","https://openalex.org/W2067718885","https://openalex.org/W2069574758","https://openalex.org/W2070493638","https://openalex.org/W2079817125","https://openalex.org/W2118183148","https://openalex.org/W2605444720","https://openalex.org/W2796072231","https://openalex.org/W2884724231","https://openalex.org/W2896827527","https://openalex.org/W2904196284","https://openalex.org/W2910279921","https://openalex.org/W2920974156","https://openalex.org/W2947459187","https://openalex.org/W2952959099","https://openalex.org/W2971118199","https://openalex.org/W2980189150","https://openalex.org/W2983149012","https://openalex.org/W2997873341","https://openalex.org/W3010281412","https://openalex.org/W3016414288","https://openalex.org/W3018059424","https://openalex.org/W3044963726","https://openalex.org/W3094773976","https://openalex.org/W3095652165","https://openalex.org/W3109239204","https://openalex.org/W3114878118","https://openalex.org/W3162114284","https://openalex.org/W3194510768","https://openalex.org/W4200471932","https://openalex.org/W4213041519","https://openalex.org/W4214820341","https://openalex.org/W4324146438","https://openalex.org/W4391559356","https://openalex.org/W6641327252","https://openalex.org/W6644456170","https://openalex.org/W6657068160","https://openalex.org/W6753369297","https://openalex.org/W6769676847","https://openalex.org/W6772188858","https://openalex.org/W7025510333"],"related_works":["https://openalex.org/W2006708776","https://openalex.org/W3088843374","https://openalex.org/W2076258781","https://openalex.org/W2050076996","https://openalex.org/W229760109","https://openalex.org/W2093589470","https://openalex.org/W2889925888","https://openalex.org/W2415751681","https://openalex.org/W2022287597","https://openalex.org/W2180033908"],"abstract_inverted_index":{"High-variant":[0],"wind":[1,6,15,24,81,187],"speeds":[2],"cause":[3],"aberrations":[4],"in":[5,115,193],"power":[7,188],"systems":[8],"and":[9,27,66,96,103,109,118,134,144,165,175,195],"compromise":[10],"the":[11,22,30,104,130,149,157,161,197],"effective":[12],"operation":[13],"of":[14,107],"farms.":[16],"A":[17],"single":[18],"model":[19,159],"cannot":[20],"capture":[21],"inherent":[23],"speed":[25,82],"randomness":[26],"complexity.":[28],"In":[29],"proposed":[31,75],"hybrid":[32],"strategy,":[33],"wavelet":[34],"transform":[35],"(WT)":[36],"is":[37],"used":[38],"for":[39,45,53,62,71,94],"data":[40,83],"decomposition,":[41],"sample":[42],"entropy":[43],"(SampEn)":[44],"subseries":[46,55,64],"complexity":[47],"evaluation,":[48],"neural":[49],"network":[50,60],"autoregression":[51],"(NNAR)":[52],"deterministic":[54],"prediction,":[56,65],"long":[57],"short-term":[58,183],"memory":[59],"(LSTM)":[61],"complex":[63],"gradient":[67],"boosting":[68],"machine":[69],"(GBM)":[70],"prediction":[72],"reconciliation.":[73],"The":[74,152,178],"WT-NNAR-LSTM-GBM":[76,158],"approach":[77],"predicts":[78],"minutely":[79],"averaged":[80],"collected":[84],"at":[85],"Southern":[86],"African":[87],"Universities":[88],"Radiometric":[89],"Network":[90],"(SAURAN)":[91],"stations:":[92],"Council":[93],"Scientific":[95],"Industrial":[97],"Research":[98],"(CSIR),":[99],"Richtersveld":[100],"(RVD),":[101],"Venda,":[102],"Namibian":[105],"University":[106],"Science":[108],"Technology":[110],"(NUST).":[111],"For":[112],"comparison":[113],"purposes,":[114],"WT-NNAR-LSTM-GBM,":[116],"LSTM":[117],"NNAR":[119],"are":[120],"respectively":[121],"replaced":[122],"with":[123],"a":[124],"k-nearest":[125],"neighbour":[126],"(KNN)":[127],"to":[128,185,199],"form":[129],"corresponding":[131],"hybrids:":[132],"WT-NNAR-KNN-GBM":[133],"WT-KNN-LSTM-GBM.":[135],"We":[136],"assessed":[137],"WT-NNAR-LSTM-GBM\u2019s":[138],"efficacy":[139],"against":[140],"NNAR,":[141],"LSTM,":[142],"WT-NNAR-KNN-GBM,":[143],"WT-KNN-LSTM-GBM":[145],"as":[146,148],"well":[147],"na\u00efve":[150],"model.":[151],"comparative":[153],"study":[154,179],"found":[155],"that":[156],"was":[160],"most":[162],"accurate,":[163],"sharpest,":[164],"robust":[166],"based":[167],"on":[168],"mean":[169],"absolute":[170,173],"error,":[171],"median":[172],"deviation,":[174],"residual":[176],"analysis.":[177],"results":[180],"suggest":[181],"using":[182],"forecasts":[184],"optimise":[186],"production,":[189],"enhance":[190],"grid":[191],"operations":[192],"real-time,":[194],"open":[196],"door":[198],"further":[200],"algorithmic":[201],"enhancements.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-25T08:17:42.794288","created_date":"2025-10-10T00:00:00"}