{"id":"https://openalex.org/W4414721240","doi":"https://doi.org/10.1007/978-3-032-02725-2_50","title":"XAI for Univariate and Multivariate Time Series Forecasting. A Case Study on Electricity Consumption in Romania\u2019s National Electricity Network","display_name":"XAI for Univariate and Multivariate Time Series Forecasting. A Case Study on Electricity Consumption in Romania\u2019s National Electricity Network","publication_year":2025,"publication_date":"2025-10-01","ids":{"openalex":"https://openalex.org/W4414721240","doi":"https://doi.org/10.1007/978-3-032-02725-2_50"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-02725-2_50","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-02725-2_50","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5071935097","display_name":"Bogdan Diaconu","orcid":"https://orcid.org/0000-0002-3000-1077"},"institutions":[{"id":"https://openalex.org/I4210088362","display_name":"Constantin Br\u00e2ncu\u0219i University of Targu Jiu","ror":"https://ror.org/0058xhs49","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210088362","https://openalex.org/I97553796"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Bogdan Marian Diaconu","raw_affiliation_strings":["University \u201cConstantin Brancusi\u201d of Tg Jiu, Tg Jiu, Romania"],"affiliations":[{"raw_affiliation_string":"University \u201cConstantin Brancusi\u201d of Tg Jiu, Tg Jiu, Romania","institution_ids":["https://openalex.org/I4210088362"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114957797","display_name":"Lumini\u021ba Georgeta Popescu","orcid":"https://orcid.org/0000-0003-0423-1968"},"institutions":[{"id":"https://openalex.org/I4210088362","display_name":"Constantin Br\u00e2ncu\u0219i University of Targu Jiu","ror":"https://ror.org/0058xhs49","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210088362","https://openalex.org/I97553796"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Lumini\u021ba Georgeta Popescu","raw_affiliation_strings":["University \u201cConstantin Brancusi\u201d of Tg Jiu, Tg Jiu, Romania"],"affiliations":[{"raw_affiliation_string":"University \u201cConstantin Brancusi\u201d of Tg Jiu, Tg Jiu, Romania","institution_ids":["https://openalex.org/I4210088362"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071935097"],"corresponding_institution_ids":["https://openalex.org/I4210088362"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.61552044,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"640","last_page":"652"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9836999773979187,"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":0.9836999773979187,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9779000282287598,"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"}},{"id":"https://openalex.org/T12368","display_name":"Grey System Theory Applications","score":0.9674000144004822,"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/interpretability","display_name":"Interpretability","score":0.9459999799728394},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.8266000151634216},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.70169997215271},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.554099977016449},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5162000060081482},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4636000096797943},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45660001039505005},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.41260001063346863},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4090000092983246}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9459999799728394},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.8266000151634216},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.70169997215271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6341000199317932},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.554099977016449},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5162000060081482},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4909999966621399},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4636000096797943},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45660001039505005},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.41260001063346863},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4090000092983246},{"id":"https://openalex.org/C2779553522","wikidata":"https://www.wikidata.org/wiki/Q15261121","display_name":"National Grid","level":3,"score":0.3952000141143799},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.367000013589859},{"id":"https://openalex.org/C423512","wikidata":"https://www.wikidata.org/wiki/Q383973","display_name":"Electricity generation","level":3,"score":0.34950000047683716},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.3479999899864197},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.3221000134944916},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.30809998512268066},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.29440000653266907},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29260000586509705},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C82257358","wikidata":"https://www.wikidata.org/wiki/Q895497","display_name":"Box\u2013Jenkins","level":4,"score":0.2808000147342682},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C134560507","wikidata":"https://www.wikidata.org/wiki/Q753291","display_name":"Environmental economics","level":1,"score":0.27300000190734863},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.27129998803138733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2709999978542328},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26840001344680786},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.26339998841285706},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.2614000141620636},{"id":"https://openalex.org/C127142870","wikidata":"https://www.wikidata.org/wiki/Q7838279","display_name":"Trend analysis","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-032-02725-2_50","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-02725-2_50","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2964303497","https://openalex.org/W3132579958","https://openalex.org/W3177262663","https://openalex.org/W4206816939","https://openalex.org/W4306399853","https://openalex.org/W4387708744","https://openalex.org/W4392714183","https://openalex.org/W4400135851","https://openalex.org/W4403032113"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}