{"id":"https://openalex.org/W4393861172","doi":"https://doi.org/10.1007/s44196-024-00464-1","title":"Machine Learning Algorithms for Power System Sign Classification and a Multivariate Stacked LSTM Model for Predicting the Electricity Imbalance Volume","display_name":"Machine Learning Algorithms for Power System Sign Classification and a Multivariate Stacked LSTM Model for Predicting the Electricity Imbalance Volume","publication_year":2024,"publication_date":"2024-04-03","ids":{"openalex":"https://openalex.org/W4393861172","doi":"https://doi.org/10.1007/s44196-024-00464-1"},"language":"en","primary_location":{"id":"doi:10.1007/s44196-024-00464-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-024-00464-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-024-00464-1.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44196-024-00464-1.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072430260","display_name":"Adela B\u00e2r\u00e3","orcid":"https://orcid.org/0000-0002-0961-352X"},"institutions":[{"id":"https://openalex.org/I88491126","display_name":"Bucharest University of Economic Studies","ror":"https://ror.org/04yvncj21","country_code":"RO","type":"education","lineage":["https://openalex.org/I88491126"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Adela B\u00e2ra","raw_affiliation_strings":["Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, Bucharest, Romania"],"raw_orcid":"https://orcid.org/0000-0002-0961-352X","affiliations":[{"raw_affiliation_string":"Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, Bucharest, Romania","institution_ids":["https://openalex.org/I88491126"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035700125","display_name":"Simona\u2010Vasilica Oprea","orcid":"https://orcid.org/0000-0002-9005-5181"},"institutions":[{"id":"https://openalex.org/I88491126","display_name":"Bucharest University of Economic Studies","ror":"https://ror.org/04yvncj21","country_code":"RO","type":"education","lineage":["https://openalex.org/I88491126"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Simona-Vasilica Oprea","raw_affiliation_strings":["Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, Bucharest, Romania"],"raw_orcid":"https://orcid.org/0000-0002-9005-5181","affiliations":[{"raw_affiliation_string":"Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, Bucharest, Romania","institution_ids":["https://openalex.org/I88491126"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035700125"],"corresponding_institution_ids":["https://openalex.org/I88491126"],"apc_list":{"value":1390,"currency":"GBP","value_usd":1704},"apc_paid":{"value":1390,"currency":"GBP","value_usd":1704},"fwci":3.3268,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.92527461,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"17","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":1.0,"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":1.0,"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/T11941","display_name":"Power System Reliability and Maintenance","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T11343","display_name":"Power Transformer Diagnostics and Insulation","score":0.9861999750137329,"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/sign","display_name":"Sign (mathematics)","score":0.7247260808944702},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.685393214225769},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6615655422210693},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5327662825584412},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5001428127288818},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4886811077594757},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45117276906967163},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.4313247799873352},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4156922399997711},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36637765169143677},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20133477449417114},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.056130796670913696}],"concepts":[{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.7247260808944702},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.685393214225769},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6615655422210693},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5327662825584412},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5001428127288818},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4886811077594757},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45117276906967163},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.4313247799873352},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4156922399997711},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36637765169143677},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20133477449417114},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.056130796670913696},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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:10.1007/s44196-024-00464-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-024-00464-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-024-00464-1.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c3baa9e71b5f43bdb9c30236b4e8ade5","is_oa":false,"landing_page_url":"https://doaj.org/article/c3baa9e71b5f43bdb9c30236b4e8ade5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-22 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44196-024-00464-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-024-00464-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-024-00464-1.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G294413184","display_name":null,"funder_award_id":"PCE 35","funder_id":"https://openalex.org/F4320323983","funder_display_name":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii"},{"id":"https://openalex.org/G6694228673","display_name":null,"funder_award_id":"PN-III-P4-PCE-2021-0334","funder_id":"https://openalex.org/F4320323983","funder_display_name":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii"}],"funders":[{"id":"https://openalex.org/F4320318622","display_name":"Ministerul Cercet\u0103rii, Inov\u0103rii \u015fi Digitaliz\u0103rii","ror":null},{"id":"https://openalex.org/F4320323983","display_name":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii","ror":"https://ror.org/01q7jq182"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4393861172.pdf"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2295598076","https://openalex.org/W2557487557","https://openalex.org/W2586431523","https://openalex.org/W2597866042","https://openalex.org/W2745178787","https://openalex.org/W2754252319","https://openalex.org/W2781910762","https://openalex.org/W2792095223","https://openalex.org/W2809317444","https://openalex.org/W2809880122","https://openalex.org/W2899184719","https://openalex.org/W2913037080","https://openalex.org/W2920632063","https://openalex.org/W2981339070","https://openalex.org/W3004372506","https://openalex.org/W3008471885","https://openalex.org/W3013330736","https://openalex.org/W3034272367","https://openalex.org/W3048652369","https://openalex.org/W3085449771","https://openalex.org/W3093463789","https://openalex.org/W3093964773","https://openalex.org/W3096140803","https://openalex.org/W3111200497","https://openalex.org/W3118831975","https://openalex.org/W3119619824","https://openalex.org/W3126919232","https://openalex.org/W3137710960","https://openalex.org/W3163408617","https://openalex.org/W3174101204","https://openalex.org/W3181049758","https://openalex.org/W3192626310","https://openalex.org/W3207559276","https://openalex.org/W3211137809","https://openalex.org/W3211759360","https://openalex.org/W3212667064","https://openalex.org/W3216429949","https://openalex.org/W3216683362","https://openalex.org/W4200609187","https://openalex.org/W4205167704","https://openalex.org/W4205771874","https://openalex.org/W4213366870","https://openalex.org/W4214936883","https://openalex.org/W4221039087","https://openalex.org/W4225331966","https://openalex.org/W4282595292","https://openalex.org/W4285033563","https://openalex.org/W4289861147","https://openalex.org/W4296970127","https://openalex.org/W4298343014","https://openalex.org/W4300009529","https://openalex.org/W4304690374","https://openalex.org/W4307697670","https://openalex.org/W4313588323","https://openalex.org/W4315780746","https://openalex.org/W4322723719","https://openalex.org/W4375855102","https://openalex.org/W4382175553","https://openalex.org/W4384823618"],"related_works":["https://openalex.org/W2406638334","https://openalex.org/W2110143569","https://openalex.org/W4390961098","https://openalex.org/W3122938442","https://openalex.org/W2798121181","https://openalex.org/W1991765889","https://openalex.org/W1990068454","https://openalex.org/W2472172556","https://openalex.org/W1570805059","https://openalex.org/W2357266745"],"abstract_inverted_index":{"Abstract":[0],"The":[1,25,76,101,137,258,307,327],"energy":[2,58,84,172,182],"transition":[3,59],"to":[4,69,94,127,166,184,193,196,222,252,262,283,323,335,382],"a":[5,10,71,281],"cleaner":[6,72],"environment":[7],"has":[8,183],"been":[9],"concern":[11],"for":[12,117,240,248,302],"many":[13],"researchers":[14],"and":[15,22,40,49,60,73,91,98,111,113,130,150,242,267,315,375,394],"policy":[16],"makers,":[17],"as":[18,20,365],"well":[19],"communities":[21],"non-governmental":[23],"organizations.":[24],"effects":[26],"of":[27,89,103,121,134,170,232,245,292,318,329,387],"climate":[28],"change":[29],"are":[30,37,44,163,191,333,348,356,380],"evident,":[31],"temperatures":[32],"everywhere":[33],"in":[34,107,158],"the":[35,57,61,83,86,118,132,146,198,207,212,227,230,233,238,256,264,269,285,290,293,300,304,316,319,324,330,336,345,352,384],"world":[36],"getting":[38],"higher":[39],"violent":[41],"weather":[42],"phenomena":[43],"more":[45],"frequent,":[46],"requiring":[47],"clear":[48],"firm":[50],"pro-environmental":[51],"measures.":[52],"Thus,":[53],"we":[54,279],"will":[55,78],"discuss":[56],"support":[62],"provided":[63],"by":[64,211],"artificial":[65],"intelligence":[66],"(AI)":[67],"applications":[68,81],"achieve":[70],"healthier":[74],"environment.":[75],"focus":[77],"be":[79,115,185],"on":[80,206,255,289],"driving":[82],"transition,":[85],"significant":[87],"role":[88],"AI,":[90],"collective":[92],"efforts":[93],"improve":[95],"societal":[96],"interactions":[97],"living":[99],"standards.":[100],"price":[102,139],"electricity":[104,135,138],"is":[105,125,145,155,204,244,261,297,310,321],"included":[106],"almost":[108],"all":[109],"goods":[110],"services":[112],"should":[114],"affordable":[116],"sustainable":[119],"development":[120],"economies.":[122],"Therefore,":[123,180,229,344],"it":[124,154],"important":[126],"model,":[128],"anticipate":[129],"understand":[131],"trend":[133],"markets.":[136],"includes":[140],"an":[141],"imbalance":[142,234,265,273,286,294,305,308,353],"component":[143],"which":[144],"difference":[147],"between":[148],"notifications":[149],"real-time":[151],"operation.":[152],"Ideally":[153],"zero,":[156],"but":[157],"real":[159],"operation":[160],"such":[161,272,364],"differences":[162],"normal":[164],"due":[165],"load":[167],"variation,":[168],"lack":[169],"renewable":[171],"sources":[173],"(RES)":[174],"accurate":[175],"prediction,":[176],"unplanted":[177],"outages,":[178],"etc.":[179],"additional":[181],"produced":[186],"or":[187,225,355],"some":[188],"generating":[189],"units":[190],"required":[192],"reduce":[194,224],"generation":[195],"balance":[197],"power":[199],"system.":[200],"Usually,":[201],"this":[202,277],"activity":[203],"performed":[205],"balancing":[208],"market":[209],"(BM)":[210],"transmission":[213],"system":[214],"operator":[215],"(TSO)":[216],"that":[217,271,296,399],"gathers":[218],"offers":[219,254],"from":[220,338,358],"generators":[221],"gradually":[223],"increase":[226],"output.":[228],"prediction":[231],"volume":[235,266,287],"along":[236],"with":[237],"prices":[239],"deficit":[241],"surplus":[243],"paramount":[246],"importance":[247],"producers\u2019":[249],"decision":[250],"makers":[251],"create":[253],"BM.":[257],"main":[259],"goal":[260],"predict":[263,284],"minimize":[268],"costs":[270],"may":[274],"cause.":[275],"In":[276],"chapter,":[278],"propose":[280],"method":[282,386],"based":[288],"classification":[291,320,389],"sign":[295,309],"inserted":[298],"into":[299],"dataset":[301],"predicting":[303],"volume.":[306],"predicted":[311,350],"using":[312],"several":[313],"classifiers":[314],"output":[317],"added":[322],"input":[325,346],"dataset.":[326],"rest":[328],"exogenous":[331],"variables":[332,347],"shifted":[334],"values":[337],"previous":[339],"day":[340],"d":[341,359],"\u2212":[342,360],"1.":[343,361],"either":[349],"(like":[351],"sign)":[354],"known":[357],"Several":[362],"metrics,":[363],"mean":[366,376],"average":[367,377],"percentage":[368],"error":[369,378],"(MAPE),":[370],"determination":[371],"coefficient":[372],"R":[373],"2":[374],"(MAE)":[379],"calculated":[381],"assess":[383],"proposed":[385],"combining":[388],"machine":[390],"learning":[391],"(ML)":[392],"algorithms":[393],"recurrent":[395],"neural":[396],"networks":[397],"(RNN)":[398],"memorize":[400],"variations,":[401],"namely":[402],"long":[403],"short-term":[404],"memory":[405],"(LSTM)":[406],"model.":[407]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":5}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}
