{"id":"https://openalex.org/W4400942802","doi":"https://doi.org/10.7148/2024-0500","title":"Forecasting energy consumption in energy clusters using machine learning methods","display_name":"Forecasting energy consumption in energy clusters using machine learning methods","publication_year":2024,"publication_date":"2024-06-07","ids":{"openalex":"https://openalex.org/W4400942802","doi":"https://doi.org/10.7148/2024-0500"},"language":"en","primary_location":{"id":"doi:10.7148/2024-0500","is_oa":true,"landing_page_url":"https://doi.org/10.7148/2024-0500","pdf_url":"http://www.scs-europe.net/dlib/2024/ecms2024acceptedpapers/0500_dis_ecms2024_0056.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ECMS 2024 Proceedings edited by Daniel Grzonka, Natalia Rylko, Grazyna Suchacka, Vladimir Mityushev","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://www.scs-europe.net/dlib/2024/ecms2024acceptedpapers/0500_dis_ecms2024_0056.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018034565","display_name":"Piotr Jurek","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092770","display_name":"Cracow University of Technology","ror":null,"country_code":"PL","type":null,"lineage":["https://openalex.org/I4210092770"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Piotr Jurek","raw_affiliation_strings":["Department of Computer Science Cracow University of Technology Cracow , Poland"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science Cracow University of Technology Cracow , Poland","institution_ids":["https://openalex.org/I4210092770"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055653957","display_name":"Anna Plichta","orcid":"https://orcid.org/0000-0001-6503-308X"},"institutions":[{"id":"https://openalex.org/I4210092770","display_name":"Cracow University of Technology","ror":null,"country_code":"PL","type":null,"lineage":["https://openalex.org/I4210092770"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Anna Plichta","raw_affiliation_strings":["Department of Computer Science Cracow University of Technology Cracow , Poland"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science Cracow University of Technology Cracow , Poland","institution_ids":["https://openalex.org/I4210092770"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018034565"],"corresponding_institution_ids":["https://openalex.org/I4210092770"],"apc_list":null,"apc_paid":null,"fwci":0.2187,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50826996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"500","last_page":"506"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9776999950408936,"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":0.9776999950408936,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.7969403266906738},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6896741390228271},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5969727039337158},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3952358365058899},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3770381212234497},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12439599633216858},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07200509309768677},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.060851842164993286}],"concepts":[{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.7969403266906738},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6896741390228271},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5969727039337158},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3952358365058899},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3770381212234497},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12439599633216858},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07200509309768677},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.060851842164993286},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.7148/2024-0500","is_oa":true,"landing_page_url":"https://doi.org/10.7148/2024-0500","pdf_url":"http://www.scs-europe.net/dlib/2024/ecms2024acceptedpapers/0500_dis_ecms2024_0056.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ECMS 2024 Proceedings edited by Daniel Grzonka, Natalia Rylko, Grazyna Suchacka, Vladimir Mityushev","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.7148/2024-0500","is_oa":true,"landing_page_url":"https://doi.org/10.7148/2024-0500","pdf_url":"http://www.scs-europe.net/dlib/2024/ecms2024acceptedpapers/0500_dis_ecms2024_0056.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ECMS 2024 Proceedings edited by Daniel Grzonka, Natalia Rylko, Grazyna Suchacka, Vladimir Mityushev","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400942802.pdf","grobid_xml":"https://content.openalex.org/works/W4400942802.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"The":[0],"rising":[1],"demand":[2],"for":[3],"secure,":[4],"sustainable":[5],"energy":[6,21,37],"generation":[7],"led":[8],"to":[9,42,118],"the":[10,13,44,54,98,101,104,120],"emergence":[11],"of":[12,15,46,56,100,106],"concept":[14],"Energy":[16,48],"Cluster":[17,49],"in":[18,76],"Poland.":[19],"Renewable":[20],"sources":[22],"depend":[23],"on":[24,84,94],"such":[25,61,78,96],"factors":[26,95],"as":[27,62,97],"changeable":[28],"weather":[29],"conditions,":[30],"which":[31],"makes":[32],"them":[33],"unstable.":[34],"Therefore,":[35],"electrical":[36],"consumption":[38],"forecasting":[39],"is":[40],"necessary":[41],"balance":[43],"needs":[45],"every":[47],"member.":[50],"This":[51],"article":[52],"examines":[53],"efficacy":[55],"various":[57,127],"machine":[58],"learning":[59,81,131],"models,":[60],"Linear":[63],"Regression,":[64,67],"Decision":[65],"Tree":[66],"K-neighbors":[68],"regression,":[69],"Exponential":[70,140],"Smoothing,":[71],"or":[72,103],"Support":[73],"Vector":[74],"Regression":[75],"predicting":[77],"data.":[79],"Deep":[80],"models":[82],"based":[83],"Long":[85],"Short-Term":[86],"Memory":[87],"and":[88,129],"convolution":[89],"were":[90],"also":[91],"considered.":[92],"Depending":[93],"seasonality":[99],"dataset":[102],"presence":[105],"a":[107],"trend,":[108],"each":[109],"examined":[110],"model":[111],"performed":[112],"differently.":[113],"Overall,":[114],"LSTM":[115],"turned":[116],"out":[117],"be":[119,151],"most":[121],"universal":[122],"method,":[123],"working":[124],"well":[125],"with":[126,133],"datasets":[128],"balancing":[130],"speed":[132],"accuracy.":[134],"In":[135],"some":[136],"specific":[137],"cases,":[138],"however,":[139],"Smoothing":[141],"proved":[142],"more":[143],"efficient,":[144],"suggesting":[145],"that":[146],"an":[147],"entity-by-entity":[148],"approach":[149],"may":[150],"appropriate.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-09T07:00:12.390032","created_date":"2025-10-10T00:00:00"}