{"id":"https://openalex.org/W4406457921","doi":"https://doi.org/10.1109/bigdata62323.2024.10825293","title":"The Impact of Weather Conditions on Renewable Energy Production: A Machine Learning Approach","display_name":"The Impact of Weather Conditions on Renewable Energy Production: A Machine Learning Approach","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406457921","doi":"https://doi.org/10.1109/bigdata62323.2024.10825293"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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/A5114815780","display_name":"Recep \u00d6zbay","orcid":null},"institutions":[{"id":"https://openalex.org/I95634034","display_name":"Gazi University","ror":"https://ror.org/054xkpr46","country_code":"TR","type":"education","lineage":["https://openalex.org/I95634034"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Recep \u00d6zbay","raw_affiliation_strings":["Gazi University,Graduate School of Informatics,Dept. Of Computer Forensics,Ankara,Turkey"],"affiliations":[{"raw_affiliation_string":"Gazi University,Graduate School of Informatics,Dept. Of Computer Forensics,Ankara,Turkey","institution_ids":["https://openalex.org/I95634034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058860839","display_name":"Merve \u00c7elebi","orcid":null},"institutions":[{"id":"https://openalex.org/I46000314","display_name":"Mustafa Kemal University","ror":"https://ror.org/056hcgc41","country_code":"TR","type":"education","lineage":["https://openalex.org/I46000314"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Merve \u00c7elebi","raw_affiliation_strings":["Hatay Mustafa Kemal University,Faculty of Education,Dept. Of Computer Education and Instructional Technologies,Hatay,Turkey"],"affiliations":[{"raw_affiliation_string":"Hatay Mustafa Kemal University,Faculty of Education,Dept. Of Computer Education and Instructional Technologies,Hatay,Turkey","institution_ids":["https://openalex.org/I46000314"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042415153","display_name":"Uraz Yavano\u011flu","orcid":"https://orcid.org/0000-0001-8358-8150"},"institutions":[{"id":"https://openalex.org/I95634034","display_name":"Gazi University","ror":"https://ror.org/054xkpr46","country_code":"TR","type":"education","lineage":["https://openalex.org/I95634034"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Uraz Yavano\u011flu","raw_affiliation_strings":["Gazi University,Faculty of Engineering,Dept. of Computer Engineering,Ankara,Turkey"],"affiliations":[{"raw_affiliation_string":"Gazi University,Faculty of Engineering,Dept. of Computer Engineering,Ankara,Turkey","institution_ids":["https://openalex.org/I95634034"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5114815780"],"corresponding_institution_ids":["https://openalex.org/I95634034"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24194852,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7110","last_page":"7115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9973000288009644,"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":0.9973000288009644,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9854000210762024,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9552000164985657,"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/renewable-energy","display_name":"Renewable energy","score":0.7264652252197266},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.6362025737762451},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5927457809448242},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.44799041748046875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3529040515422821},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20252561569213867},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1045495867729187},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.08610966801643372}],"concepts":[{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.7264652252197266},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.6362025737762451},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5927457809448242},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.44799041748046875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3529040515422821},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20252561569213867},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1045495867729187},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.08610966801643372},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.800000011920929,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1964357740","https://openalex.org/W1994848651","https://openalex.org/W2056360726","https://openalex.org/W2066124661","https://openalex.org/W2119821739","https://openalex.org/W2171033594","https://openalex.org/W2296679658","https://openalex.org/W2487770199","https://openalex.org/W2569349941","https://openalex.org/W2740589650","https://openalex.org/W2758914739","https://openalex.org/W2898543370","https://openalex.org/W2976858096","https://openalex.org/W3122598275","https://openalex.org/W3123930234","https://openalex.org/W3147474464","https://openalex.org/W4213251304","https://openalex.org/W4220692252","https://openalex.org/W4220895264","https://openalex.org/W4225552099","https://openalex.org/W4309564101","https://openalex.org/W4389197597","https://openalex.org/W4392091061","https://openalex.org/W4392349425","https://openalex.org/W4399300022","https://openalex.org/W6741613141"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0],"recent":[1],"decades,":[2],"obtaining":[3],"energy":[4,10,26,40,74,89,165],"from":[5],"wind,":[6],"solar,":[7],"and":[8,38,85,109,133,150,178],"hydro":[9],"has":[11,173],"brought":[12],"hope":[13],"for":[14,36],"a":[15,33,51],"sustainable":[16],"future.":[17],"Machine":[18],"learning":[19],"(ML)":[20],"significantly":[21],"impacts":[22],"the":[23,47,57,66,83,124,128,158,174,179],"field":[24],"of":[25,49,68,87,117,130],"systems.":[27,41,90],"ML":[28,118],"techniques":[29],"have":[30],"emerged":[31],"as":[32,171],"powerful":[34],"tool":[35],"analyzing":[37,50],"optimizing":[39],"This":[42,63],"approach":[43],"can":[44],"potentially":[45],"reduce":[46],"cost":[48],"device":[52],"by":[53],"focusing":[54],"solely":[55],"on":[56,77,123,168],"data":[58],"generated":[59],"during":[60],"its":[61],"operation.":[62],"paper":[64],"investigates":[65],"application":[67],"regression":[69],"models":[70,119],"to":[71,81],"predict":[72],"renewable":[73,88,164],"production":[75,166],"based":[76,122],"weather":[78,169],"conditions,":[79],"aiming":[80],"enhance":[82],"reliability":[84],"efficiency":[86],"Experiments":[91],"are":[92,120],"performed":[93],"using":[94],"Decision":[95],"Tree":[96],"(DT),":[97],"k-nearest":[98],"Neighbors":[99],"(KNN),":[100],"Multiple":[101],"Linear":[102],"(MLR),":[103],"Polynomial":[104],"(PR),":[105],"Random":[106],"Forest":[107],"(RF),":[108],"Support":[110],"Vector":[111],"(SVR)":[112],"Regression":[113],"algorithms.":[114],"The":[115],"performances":[116],"compared":[121],"evaluations":[125],"obtained":[126],"through":[127],"Coefficient":[129],"Determination":[131],"(R2),":[132],"error":[134,181],"measures":[135],"namely":[136],"Mean":[137,141,146,152],"Absolute":[138,142],"Error":[139,144,148,154],"(MAE),":[140],"Percentage":[143],"(MAPE),":[145],"Squared":[147],"(MSE),":[149],"Root":[151],"Square":[153],"(RMSE).":[155],"RF":[156],"is":[157],"most":[159],"successful":[160],"algorithm":[161],"in":[162],"predicting":[163],"depending":[167],"conditions":[170],"it":[172],"highest":[175],"R2":[176],"value":[177],"lowest":[180],"measures.":[182]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}