{"id":"https://openalex.org/W3102423136","doi":"https://doi.org/10.1007/s00521-020-05476-4","title":"Machine learning models for ecological footprint prediction based on energy parameters","display_name":"Machine learning models for ecological footprint prediction based on energy parameters","publication_year":2020,"publication_date":"2020-11-17","ids":{"openalex":"https://openalex.org/W3102423136","doi":"https://doi.org/10.1007/s00521-020-05476-4","mag":"3102423136"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-020-05476-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-020-05476-4","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://machinery.mas.bg.ac.rs/handle/123456789/4996","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101472366","display_name":"Radmila Jankovi\u0107","orcid":"https://orcid.org/0000-0003-3424-134X"},"institutions":[{"id":"https://openalex.org/I1338511612","display_name":"Serbian Academy of Sciences and Arts","ror":"https://ror.org/05m1y4204","country_code":"RS","type":"government","lineage":["https://openalex.org/I1338511612"]},{"id":"https://openalex.org/I4390039372","display_name":"Mathematical Institute of the Serbian Academy of Sciences and Arts","ror":"https://ror.org/02jxk1021","country_code":null,"type":"education","lineage":["https://openalex.org/I1338511612","https://openalex.org/I4390039372"]}],"countries":["RS"],"is_corresponding":true,"raw_author_name":"Radmila Jankovi\u0107","raw_affiliation_strings":["Mathematical Institute of the Serbian Academy of Sciences and Arts, Belgrade, Serbia"],"raw_orcid":"https://orcid.org/0000-0003-3424-134X","affiliations":[{"raw_affiliation_string":"Mathematical Institute of the Serbian Academy of Sciences and Arts, Belgrade, Serbia","institution_ids":["https://openalex.org/I1338511612","https://openalex.org/I4390039372"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088602460","display_name":"Ivan Mihajlovi\u0107","orcid":"https://orcid.org/0000-0002-9489-8207"},"institutions":[{"id":"https://openalex.org/I4068193","display_name":"University of Belgrade","ror":"https://ror.org/02qsmb048","country_code":"RS","type":"education","lineage":["https://openalex.org/I4068193"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Ivan Mihajlovi\u0107","raw_affiliation_strings":["Technical Faculty in Bor, University of Belgrade, Bor, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical Faculty in Bor, University of Belgrade, Bor, Serbia","institution_ids":["https://openalex.org/I4068193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012087072","display_name":"Nada \u0160trbac","orcid":"https://orcid.org/0000-0003-4836-1350"},"institutions":[{"id":"https://openalex.org/I4068193","display_name":"University of Belgrade","ror":"https://ror.org/02qsmb048","country_code":"RS","type":"education","lineage":["https://openalex.org/I4068193"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Nada \u0160trbac","raw_affiliation_strings":["Technical Faculty in Bor, University of Belgrade, Bor, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical Faculty in Bor, University of Belgrade, Bor, Serbia","institution_ids":["https://openalex.org/I4068193"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037506373","display_name":"Alessia Amelio","orcid":"https://orcid.org/0000-0002-3568-636X"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessia Amelio","raw_affiliation_strings":["DIMES, University of Calabria, Rende, Cosenza, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DIMES, University of Calabria, Rende, Cosenza, Italy","institution_ids":["https://openalex.org/I45204951"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101472366"],"corresponding_institution_ids":["https://openalex.org/I1338511612","https://openalex.org/I4390039372"],"apc_list":{"value":3290,"currency":"USD","value_usd":3290},"apc_paid":{"value":3290,"currency":"USD","value_usd":3290},"fwci":1.6523,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.81613041,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"33","issue":"12","first_page":"7073","last_page":"7087"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10435","display_name":"Environmental Impact and Sustainability","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10435","display_name":"Environmental Impact and Sustainability","score":0.9994999766349792,"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/T10438","display_name":"Energy, Environment, Economic Growth","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12617","display_name":"Energy, Environment, and Transportation Policies","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6493282914161682},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5525684952735901},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5396589636802673},{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"Mean absolute percentage error","score":0.5375900268554688},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.537192165851593},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.5301457643508911},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48483240604400635},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45577242970466614},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4191514551639557},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.40397024154663086},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26185372471809387}],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6493282914161682},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5525684952735901},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5396589636802673},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.5375900268554688},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.537192165851593},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.5301457643508911},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48483240604400635},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45577242970466614},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4191514551639557},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.40397024154663086},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26185372471809387},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00521-020-05476-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-020-05476-4","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},{"id":"pmh:oai:machinery.mas.bg.ac.rs:123456789/4996","is_oa":true,"landing_page_url":"https://machinery.mas.bg.ac.rs/handle/123456789/4996","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"NEURAL COMPUTING & APPLICATIONS","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:machinery.mas.bg.ac.rs:123456789/4996","is_oa":true,"landing_page_url":"https://machinery.mas.bg.ac.rs/handle/123456789/4996","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"NEURAL COMPUTING & APPLICATIONS","raw_type":"article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W273955616","https://openalex.org/W1493697127","https://openalex.org/W1586335931","https://openalex.org/W1969045687","https://openalex.org/W1978430273","https://openalex.org/W2007941790","https://openalex.org/W2016210396","https://openalex.org/W2017272318","https://openalex.org/W2038398724","https://openalex.org/W2050055903","https://openalex.org/W2066813588","https://openalex.org/W2082737326","https://openalex.org/W2095142606","https://openalex.org/W2101234009","https://openalex.org/W2106411961","https://openalex.org/W2119850588","https://openalex.org/W2152938157","https://openalex.org/W2254095233","https://openalex.org/W2381527833","https://openalex.org/W2388884868","https://openalex.org/W2412247133","https://openalex.org/W2465194949","https://openalex.org/W2487770199","https://openalex.org/W2502092849","https://openalex.org/W2523246573","https://openalex.org/W2605614336","https://openalex.org/W2617839856","https://openalex.org/W2772032254","https://openalex.org/W2783392344","https://openalex.org/W2802982948","https://openalex.org/W2889323772","https://openalex.org/W2889337219","https://openalex.org/W2895060151","https://openalex.org/W2911964244","https://openalex.org/W2950041186","https://openalex.org/W2955325883","https://openalex.org/W2964554785","https://openalex.org/W2970989889","https://openalex.org/W2989746651","https://openalex.org/W2998458143","https://openalex.org/W3008117179","https://openalex.org/W3011035318","https://openalex.org/W3044942467","https://openalex.org/W3106430813","https://openalex.org/W3200473828"],"related_works":["https://openalex.org/W4318676890","https://openalex.org/W2039947585","https://openalex.org/W4385195237","https://openalex.org/W3178576217","https://openalex.org/W4285102093","https://openalex.org/W4210644201","https://openalex.org/W3111532652","https://openalex.org/W2510451507","https://openalex.org/W4283367183","https://openalex.org/W4381189085"],"abstract_inverted_index":{"The":[0,19,146,159,175,202,246],"ecological":[1,49,269],"footprint":[2,50,270],"is":[3],"an":[4,144],"excellent":[5],"tool":[6],"to":[7,230,239],"better":[8],"understand":[9],"the":[10,13,17,26,47,61,101,169,180,208,216,242,249,257,268],"consequences":[11],"of":[12,28,51,57,95,153,212],"human":[14],"behavior":[15],"on":[16,54,248,272],"environment.":[18],"growing":[20],"need":[21],"for":[22,45],"natural":[23,107],"resources":[24],"emphasizes":[25],"necessity":[27],"their":[29,96],"accurate":[30],"observation,":[31],"calculation,":[32],"and":[33,38,78,90,129,173,195,222],"prediction.":[34],"This":[35],"paper":[36],"develops":[37],"compares":[39],"four":[40],"hybrid":[41],"machine":[42],"learning":[43],"models":[44,147],"predicting":[46],"total":[48],"consumption":[52,104],"based":[53,271],"a":[55,151,232,264],"set":[56,152,235,251],"hyper-parameters":[58],"predefined":[59],"by":[60,215],"Bayesian":[62],"optimization":[63],"algorithm.":[64],"In":[65],"particular,":[66],"K-nearest":[67],"neighbor":[68],"regression":[69,73],"(KNNReg),":[70],"random":[71],"forest":[72],"(RFR)":[74],"with":[75,84,210],"93":[76],"trees,":[77],"two":[79,85,164],"artificial":[80],"neural":[81],"networks":[82],"(ANNs)":[83],"hidden":[86,170],"layers":[87],"were":[88,148,161],"developed":[89,149],"later":[91],"compared":[92],"in":[93,168],"terms":[94],"performance.":[97],"As":[98],"energy":[99,103],"inputs,":[100],"primary":[102],"from":[105],"(1)":[106],"gas":[108],"sources,":[109,112,115,118,122,125,128],"(2)":[110],"coal":[111],"(3)":[113],"oil":[114],"(4)":[116],"wind":[117],"(5)":[119],"solar":[120],"photovoltaic":[121],"(6)":[123],"hydropower":[124],"(7)":[126],"nuclear":[127],"(8)":[130],"other":[131],"renewable":[132],"sources":[133],"was":[134,177,228,237,261],"used.":[135],"Additionally,":[136],"population":[137],"number":[138],"has":[139],"also":[140],"been":[141],"used":[142,238],"as":[143],"input.":[145],"using":[150,163,179],"data":[154],"that":[155,205,266],"include":[156],"1804":[157],"instances.":[158],"ANNs":[160],"modeled":[162],"different":[165],"activation":[166],"functions":[167],"layers:":[171],"ReLU":[172,219],"SPOCU.":[174],"performance":[176,247,254],"evaluated":[178],"mean":[181,186,197],"absolute":[182,187,198],"percentage":[183,199],"error":[184,189,193,200],"(MAPE),":[185],"scaled":[188],"(MASE),":[190],"normalized":[191],"root-mean-squared":[192],"(NRMSE),":[194],"symmetric":[196],"(SMAPE).":[201],"results":[203],"show":[204],"KNNReg":[206],"performs":[207],"best":[209,243,258],"MASE":[211],"0.029,":[213],"followed":[214],"RFR":[217],"(0.032),":[218],"ANN":[220,224],"(0.064),":[221],"SPOCU":[223],"(0.089).":[225],"Moreover,":[226],"SMOGN":[227,250],"utilized":[229],"produce":[231],"synthetic":[233],"test":[234,241],"which":[236],"additionally":[240],"performed":[244,259],"model.":[245],"demonstrates":[252],"good":[253],"(MASE=0.022).":[255],"Lastly,":[256],"model":[260],"implemented":[262],"into":[263],"GUI":[265],"calculates":[267],"user":[273],"inputs.":[274]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":5}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}