{"id":"https://openalex.org/W4391095959","doi":"https://doi.org/10.1109/icecet58911.2023.10389320","title":"Wind Power Prediction with HCNNs for Turbines","display_name":"Wind Power Prediction with HCNNs for Turbines","publication_year":2023,"publication_date":"2023-11-16","ids":{"openalex":"https://openalex.org/W4391095959","doi":"https://doi.org/10.1109/icecet58911.2023.10389320"},"language":"en","primary_location":{"id":"doi:10.1109/icecet58911.2023.10389320","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecet58911.2023.10389320","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Electrical, Computer and Energy Technologies (ICECET)","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/A5052217834","display_name":"Rockefeller Rockefeller","orcid":"https://orcid.org/0000-0003-2358-665X"},"institutions":[{"id":"https://openalex.org/I148561064","display_name":"African Institute for Mathematical Sciences","ror":"https://ror.org/02f9k5d27","country_code":"ZA","type":"education","lineage":["https://openalex.org/I148561064"]},{"id":"https://openalex.org/I26092322","display_name":"Stellenbosch University","ror":"https://ror.org/05bk57929","country_code":"ZA","type":"education","lineage":["https://openalex.org/I26092322"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Rockefeller Rockefeller","raw_affiliation_strings":["African Institute for Mathematical Sciences, Stellenbosch University,Department of Mathematical Sciences,Cape Town,South Africa,7945"],"affiliations":[{"raw_affiliation_string":"African Institute for Mathematical Sciences, Stellenbosch University,Department of Mathematical Sciences,Cape Town,South Africa,7945","institution_ids":["https://openalex.org/I148561064","https://openalex.org/I26092322"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008341060","display_name":"Bubacarr Bah","orcid":"https://orcid.org/0000-0003-3318-6668"},"institutions":[{"id":"https://openalex.org/I4210116687","display_name":"MRC Unit the Gambia","ror":"https://ror.org/025wfj672","country_code":"GM","type":"facility","lineage":["https://openalex.org/I124357947","https://openalex.org/I4210087105","https://openalex.org/I4210089966","https://openalex.org/I4210116687","https://openalex.org/I90344618"]}],"countries":["GM"],"is_corresponding":false,"raw_author_name":"Bubacarr Bah","raw_affiliation_strings":["London School of Hygiene and Tropical Medicine,Medical Research Council Unit The Gambia,Banjul,The Gambia","Medical Research Council Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, The Gambia"],"affiliations":[{"raw_affiliation_string":"London School of Hygiene and Tropical Medicine,Medical Research Council Unit The Gambia,Banjul,The Gambia","institution_ids":["https://openalex.org/I4210116687"]},{"raw_affiliation_string":"Medical Research Council Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, The Gambia","institution_ids":["https://openalex.org/I4210116687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110435010","display_name":"Hans-Georg Zimmermann","orcid":null},"institutions":[{"id":"https://openalex.org/I148561064","display_name":"African Institute for Mathematical Sciences","ror":"https://ror.org/02f9k5d27","country_code":"ZA","type":"education","lineage":["https://openalex.org/I148561064"]},{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]}],"countries":["DE","ZA"],"is_corresponding":false,"raw_author_name":"Hans-Georg Zimmermann","raw_affiliation_strings":["Fraunhofer IIS,Germany","Fraunhofer IIS, Germany","AIMS South Africa"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IIS,Germany","institution_ids":["https://openalex.org/I4210124274"]},{"raw_affiliation_string":"Fraunhofer IIS, Germany","institution_ids":["https://openalex.org/I4210124274"]},{"raw_affiliation_string":"AIMS South Africa","institution_ids":["https://openalex.org/I148561064"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060690192","display_name":"Vukosi Marivate","orcid":"https://orcid.org/0000-0002-6731-6267"},"institutions":[{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Vukosi Marivate","raw_affiliation_strings":["University of Pretoria,Department of Computer Sciences,Pretoria,South Africa","Department of Computer Sciences, University of Pretoria, Pretoria, South Africa"],"affiliations":[{"raw_affiliation_string":"University of Pretoria,Department of Computer Sciences,Pretoria,South Africa","institution_ids":["https://openalex.org/I69552723"]},{"raw_affiliation_string":"Department of Computer Sciences, University of Pretoria, Pretoria, South Africa","institution_ids":["https://openalex.org/I69552723"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052217834"],"corresponding_institution_ids":["https://openalex.org/I148561064","https://openalex.org/I26092322"],"apc_list":null,"apc_paid":null,"fwci":0.2678,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56582334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9962999820709229,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.7432191371917725},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5943132638931274},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5361741781234741},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.5173146724700928},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.4263710379600525},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.41463056206703186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40926116704940796},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37985342741012573},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.35275986790657043},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3461464047431946},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22302836179733276},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.18319356441497803},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09266325831413269}],"concepts":[{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.7432191371917725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5943132638931274},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5361741781234741},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.5173146724700928},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.4263710379600525},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.41463056206703186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40926116704940796},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37985342741012573},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.35275986790657043},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3461464047431946},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22302836179733276},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.18319356441497803},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09266325831413269},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icecet58911.2023.10389320","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecet58911.2023.10389320","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Electrical, Computer and Energy Technologies (ICECET)","raw_type":"proceedings-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/468798","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/468798","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"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":20,"referenced_works":["https://openalex.org/W175136955","https://openalex.org/W1025337582","https://openalex.org/W1498436455","https://openalex.org/W1604264128","https://openalex.org/W2024377782","https://openalex.org/W2118706537","https://openalex.org/W2137983211","https://openalex.org/W2285130932","https://openalex.org/W2468900667","https://openalex.org/W2602282025","https://openalex.org/W2790834859","https://openalex.org/W2914588191","https://openalex.org/W3012477722","https://openalex.org/W3200304500","https://openalex.org/W4224981792","https://openalex.org/W4224981846","https://openalex.org/W4286781802","https://openalex.org/W4293282014","https://openalex.org/W4311758695","https://openalex.org/W6839974183"],"related_works":["https://openalex.org/W2021606399","https://openalex.org/W3039257172","https://openalex.org/W4244171230","https://openalex.org/W3032471529","https://openalex.org/W2046981991","https://openalex.org/W4321492268","https://openalex.org/W4380482219","https://openalex.org/W4377969695","https://openalex.org/W4312678308","https://openalex.org/W2070261081"],"abstract_inverted_index":{"Wind":[0],"power":[1,53,140],"prediction":[2],"is":[3,13,159],"an":[4],"attempt":[5],"to":[6,70,101,108,161,171,187],"model":[7,71,109],"a":[8,61,121,130,143,156,167,179,188],"complex":[9,72],"dynamical":[10],"system":[11],"that":[12,169],"high":[14],"dimensional,":[15],"nonlinear,":[16],"and":[17,46,126,128],"only":[18],"partially":[19],"observable.":[20],"The":[21,135],"outcomes":[22],"of":[23,31,34,42,51,63,94,112,132,137,146,182,199,209],"such":[24],"forecasts":[25],"are":[26,60],"important":[27],"for":[28,38,47],"the":[29,32,35,39,43,48,82,87,95,103,110,138,147,163,172,183,197,207],"operation":[30],"blades":[33],"wind":[36,113,139,164,184,215],"turbines,":[37],"short-term":[40],"stability":[41],"electrical":[44,52],"grid,":[45],"long-term":[49],"planning":[50],"generation.":[54],"Historical":[55],"consistent":[56],"neural":[57,64],"networks":[58,65],"(HCNNs)":[59],"type":[62],"which":[66,85,193],"were":[67,78],"originally":[68],"designed":[69],"systems":[73],"as":[74,90],"described":[75],"above.":[76,92],"They":[77],"applied":[79],"successfully":[80],"in":[81],"financial":[83],"environment,":[84],"shares":[86],"complexity":[88],"feature":[89],"highlighted":[91],"Because":[93],"mathematical":[96],"similarity,":[97],"we":[98,205],"would":[99],"like":[100],"transfer":[102],"insights":[104],"from":[105,153],"these":[106],"studies":[107],"physics":[111],"dynamics.":[114],"HCNNs":[115,176],"fulfill":[116],"universal":[117],"approximation":[118],"property,":[119],"give":[120],"causal":[122,180],"description":[123],"between":[124],"past":[125],"future":[127],"allow":[129,196],"reconstruction":[131,198],"unobserved":[133,200],"variables.":[134,201],"modeling":[136],"depends":[141],"on":[142,212],"priori":[144],"set-up":[145],"network":[148],"architecture":[149],"together":[150],"with":[151],"learning":[152,173],"data.":[154,216],"Therefore,":[155],"preprocessing":[157],"stage":[158],"needed":[160],"transform":[162],"measurements":[165],"into":[166],"formulation":[168],"suits":[170],"framework.":[174],"Our":[175],"approach":[177,211],"formulates":[178],"understanding":[181],"system,":[185],"opposite":[186],"pure":[189],"phenomenological":[190],"data":[191],"analysis":[192],"does":[194],"not":[195],"In":[202],"our":[203],"paper,":[204],"show":[206],"success":[208],"this":[210],"South":[213],"African":[214]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}