{"id":"https://openalex.org/W4382769639","doi":"https://doi.org/10.3390/a16050248","title":"Time-Series Forecasting of Seasonal Data Using Machine Learning Methods","display_name":"Time-Series Forecasting of Seasonal Data Using Machine Learning Methods","publication_year":2023,"publication_date":"2023-05-10","ids":{"openalex":"https://openalex.org/W4382769639","doi":"https://doi.org/10.3390/a16050248"},"language":"en","primary_location":{"id":"doi:10.3390/a16050248","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16050248","pdf_url":"https://www.mdpi.com/1999-4893/16/5/248/pdf?version=1683783788","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"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":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/16/5/248/pdf?version=1683783788","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032550651","display_name":"Vadim Kramar","orcid":"https://orcid.org/0000-0002-0528-1978"},"institutions":[{"id":"https://openalex.org/I4210141141","display_name":"Institute of Natural and Technical Systems","ror":"https://ror.org/03f6hbh92","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210141141"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Vadim Kramar","raw_affiliation_strings":["Department of Informatics and Control in Technical Systems, Sevastopol State University, 299053 Sevastopol, Russia"],"affiliations":[{"raw_affiliation_string":"Department of Informatics and Control in Technical Systems, Sevastopol State University, 299053 Sevastopol, Russia","institution_ids":["https://openalex.org/I4210141141"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003253780","display_name":"Vasiliy Alchakov","orcid":"https://orcid.org/0000-0002-1392-1699"},"institutions":[{"id":"https://openalex.org/I4210141141","display_name":"Institute of Natural and Technical Systems","ror":"https://ror.org/03f6hbh92","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210141141"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vasiliy Alchakov","raw_affiliation_strings":["Department of Informatics and Control in Technical Systems, Sevastopol State University, 299053 Sevastopol, Russia"],"affiliations":[{"raw_affiliation_string":"Department of Informatics and Control in Technical Systems, Sevastopol State University, 299053 Sevastopol, Russia","institution_ids":["https://openalex.org/I4210141141"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032550651"],"corresponding_institution_ids":["https://openalex.org/I4210141141"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":6.3452,"has_fulltext":true,"cited_by_count":32,"citation_normalized_percentile":{"value":0.97557649,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"16","issue":"5","first_page":"248","last_page":"248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9934999942779541,"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/T14470","display_name":"Advanced Data Processing Techniques","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/exponential-smoothing","display_name":"Exponential smoothing","score":0.8289459943771362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7487673163414001},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5909352898597717},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.5513250827789307},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5100727677345276},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4845563471317291},{"id":"https://openalex.org/keywords/novelty-detection","display_name":"Novelty detection","score":0.4540879726409912},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.45328477025032043},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.4253014922142029},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.42067721486091614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37819308042526245},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.3384808301925659}],"concepts":[{"id":"https://openalex.org/C133710760","wikidata":"https://www.wikidata.org/wiki/Q775837","display_name":"Exponential smoothing","level":2,"score":0.8289459943771362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7487673163414001},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5909352898597717},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.5513250827789307},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5100727677345276},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4845563471317291},{"id":"https://openalex.org/C2778924833","wikidata":"https://www.wikidata.org/wiki/Q7064603","display_name":"Novelty detection","level":3,"score":0.4540879726409912},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.45328477025032043},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.4253014922142029},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.42067721486091614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37819308042526245},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.3384808301925659},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/a16050248","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16050248","pdf_url":"https://www.mdpi.com/1999-4893/16/5/248/pdf?version=1683783788","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"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":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:45963b2b666447189d1e7f8a3305c1bc","is_oa":true,"landing_page_url":"https://doaj.org/article/45963b2b666447189d1e7f8a3305c1bc","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":"Algorithms, Vol 16, Iss 5, p 248 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-4893/16/5/248/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/a16050248","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Algorithms; Volume 16; Issue 5; Pages: 248","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/a16050248","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16050248","pdf_url":"https://www.mdpi.com/1999-4893/16/5/248/pdf?version=1683783788","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"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":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4382769639.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W143239021","https://openalex.org/W1498436455","https://openalex.org/W2057125455","https://openalex.org/W2064675550","https://openalex.org/W2106595237","https://openalex.org/W2178310074","https://openalex.org/W2295598076","https://openalex.org/W2477834368","https://openalex.org/W2489425111","https://openalex.org/W2747599906","https://openalex.org/W2887911837","https://openalex.org/W2892639945","https://openalex.org/W2910096450","https://openalex.org/W2971973336","https://openalex.org/W2989725176","https://openalex.org/W3085119257","https://openalex.org/W3109365969","https://openalex.org/W3118537394","https://openalex.org/W3162114284","https://openalex.org/W3182112482","https://openalex.org/W3195766441","https://openalex.org/W3199040194","https://openalex.org/W3207109864","https://openalex.org/W3208287835","https://openalex.org/W3216977698","https://openalex.org/W4280582122","https://openalex.org/W4286486917","https://openalex.org/W4286717093","https://openalex.org/W4295048071","https://openalex.org/W4304979935","https://openalex.org/W4307543476","https://openalex.org/W4309745938","https://openalex.org/W4311511308","https://openalex.org/W4311782971","https://openalex.org/W4312160319","https://openalex.org/W6798835599"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W138569904","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W3092506759","https://openalex.org/W2390914021","https://openalex.org/W2389417819","https://openalex.org/W3195278891"],"abstract_inverted_index":{"The":[0,38,67,94,116,131],"models":[1,84],"for":[2],"forecasting":[3,132],"time":[4,134],"series":[5],"with":[6,113],"seasonal":[7],"variability":[8],"can":[9,29,138],"be":[10,30,139],"used":[11,31,140],"to":[12,32,110,122,141],"build":[13],"automatic":[14],"real-time":[15,146],"control":[16,147],"systems.":[17,150],"For":[18],"example,":[19],"predicting":[20],"the":[21,34,74,77,91,143],"water":[22],"flowing":[23],"in":[24,65,100,145],"a":[25,41],"wastewater":[26],"treatment":[27],"plant":[28],"calculate":[33],"optimal":[35],"electricity":[36],"consumption.":[37],"article":[39],"describes":[40],"performance":[42],"analysis":[43],"of":[44,70,76,90,96,127],"various":[45],"machine":[46],"learning":[47],"methods":[48],"(SARIMA,":[49],"Holt-Winters":[50],"Exponential":[51],"Smoothing,":[52],"ETS,":[53],"Facebook":[54],"Prophet,":[55],"XGBoost,":[56],"and":[57,61,73,148],"Long":[58],"Short-Term":[59],"Memory)":[60],"data-preprocessing":[62],"algorithms":[63,118],"implemented":[64,117],"Python.":[66],"general":[68],"methodology":[69],"model":[71],"building":[72],"requirements":[75],"input":[78],"data":[79,87,108],"sets":[80,109],"are":[81],"described.":[82],"All":[83],"use":[85],"actual":[86],"from":[88],"sensors":[89],"monitoring":[92],"system.":[93],"novelty":[95],"this":[97],"work":[98],"is":[99,135],"an":[101,124],"approach":[102],"that":[103],"allows":[104],"using":[105],"limited":[106],"history":[107],"obtain":[111],"predictions":[112],"reasonable":[114],"accuracy.":[115],"made":[119],"it":[120],"possible":[121],"achieve":[123],"R-Squared":[125],"accuracy":[126],"more":[128],"than":[129],"0.95.":[130],"calculation":[133],"minimized,":[136],"which":[137],"run":[142],"algorithm":[144],"embedded":[149]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2023-07-01T00:00:00"}