{"id":"https://openalex.org/W4417169702","doi":"https://doi.org/10.1109/icecs66544.2025.11270515","title":"Raising Awareness of Energy Consumption in Machine Learning","display_name":"Raising Awareness of Energy Consumption in Machine Learning","publication_year":2025,"publication_date":"2025-11-17","ids":{"openalex":"https://openalex.org/W4417169702","doi":"https://doi.org/10.1109/icecs66544.2025.11270515"},"language":null,"primary_location":{"id":"doi:10.1109/icecs66544.2025.11270515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs66544.2025.11270515","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 32nd IEEE International Conference on Electronics, Circuits and Systems (ICECS)","raw_type":"proceedings-article"},"type":"article","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/A5072565295","display_name":"Silva Santos","orcid":"https://orcid.org/0000-0002-0018-8870"},"institutions":[{"id":"https://openalex.org/I157286207","display_name":"National University of Ireland, Maynooth","ror":"https://ror.org/048nfjm95","country_code":"IE","type":"education","lineage":["https://openalex.org/I157286207"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Samara Santos","raw_affiliation_strings":["Maynooth University,Hamilton Institute,Maynooth,Ireland"],"affiliations":[{"raw_affiliation_string":"Maynooth University,Hamilton Institute,Maynooth,Ireland","institution_ids":["https://openalex.org/I157286207"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093824189","display_name":"La\u00eds Medeiros","orcid":null},"institutions":[{"id":"https://openalex.org/I129192303","display_name":"Universidade Federal do Rec\u00f4ncavo da Bahia","ror":"https://ror.org/057mvv518","country_code":"BR","type":"education","lineage":["https://openalex.org/I129192303"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"La\u00eds Medeiros","raw_affiliation_strings":["Federal University of Rec&#x00F4;ncavo da Bahia,Technologic and Exact Center,Cruz das Almas,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Rec&#x00F4;ncavo da Bahia,Technologic and Exact Center,Cruz das Almas,Brazil","institution_ids":["https://openalex.org/I129192303"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041783114","display_name":"Andr\u00e9 Luiz Carvalho Ottoni","orcid":"https://orcid.org/0000-0003-2136-9870"},"institutions":[{"id":"https://openalex.org/I10824318","display_name":"Universidade Federal de Ouro Preto","ror":"https://ror.org/056s65p46","country_code":"BR","type":"education","lineage":["https://openalex.org/I10824318"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Andr\u00e9 Ottoni","raw_affiliation_strings":["Federal University of Ouro Preto,Dept of Computer Science,Ouro Preto,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Ouro Preto,Dept of Computer Science,Ouro Preto,Brazil","institution_ids":["https://openalex.org/I10824318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031596501","display_name":"Rita Borgo","orcid":"https://orcid.org/0000-0003-2875-6793"},"institutions":[{"id":"https://openalex.org/I4210119896","display_name":"King's College School","ror":"https://ror.org/02bbqcn27","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210119896"]},{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rita Borgo","raw_affiliation_strings":["King&#x2019;s College London,Dept of Informatics,London,United Kingdom"],"affiliations":[{"raw_affiliation_string":"King&#x2019;s College London,Dept of Informatics,London,United Kingdom","institution_ids":["https://openalex.org/I183935753","https://openalex.org/I4210119896"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022708886","display_name":"Erivelton G. Nepomuceno","orcid":"https://orcid.org/0000-0002-5841-2193"},"institutions":[{"id":"https://openalex.org/I157286207","display_name":"National University of Ireland, Maynooth","ror":"https://ror.org/048nfjm95","country_code":"IE","type":"education","lineage":["https://openalex.org/I157286207"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Erivelton Nepomuceno","raw_affiliation_strings":["Centre for Ocean Energy Research Maynooth University,Hamilton Institute,Maynooth,Ireland"],"affiliations":[{"raw_affiliation_string":"Centre for Ocean Energy Research Maynooth University,Hamilton Institute,Maynooth,Ireland","institution_ids":["https://openalex.org/I157286207"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5072565295"],"corresponding_institution_ids":["https://openalex.org/I157286207"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.42410976,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12238","display_name":"Green IT and Sustainability","score":0.7554000020027161,"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/T12238","display_name":"Green IT and Sustainability","score":0.7554000020027161,"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/T14347","display_name":"Big Data and Digital Economy","score":0.02590000070631504,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.012799999676644802,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.7384999990463257},{"id":"https://openalex.org/keywords/carbon-footprint","display_name":"Carbon footprint","score":0.669700026512146},{"id":"https://openalex.org/keywords/sustainability","display_name":"Sustainability","score":0.6430000066757202},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5288000106811523},{"id":"https://openalex.org/keywords/green-computing","display_name":"Green computing","score":0.48989999294281006},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.48420000076293945},{"id":"https://openalex.org/keywords/raising","display_name":"Raising (metalworking)","score":0.4754999876022339},{"id":"https://openalex.org/keywords/footprint","display_name":"Footprint","score":0.451200008392334}],"concepts":[{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.7384999990463257},{"id":"https://openalex.org/C2780936489","wikidata":"https://www.wikidata.org/wiki/Q310667","display_name":"Carbon footprint","level":3,"score":0.669700026512146},{"id":"https://openalex.org/C66204764","wikidata":"https://www.wikidata.org/wiki/Q219416","display_name":"Sustainability","level":2,"score":0.6430000066757202},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5925999879837036},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5288000106811523},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5171999931335449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4975000023841858},{"id":"https://openalex.org/C75027835","wikidata":"https://www.wikidata.org/wiki/Q1064746","display_name":"Green computing","level":3,"score":0.48989999294281006},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.48420000076293945},{"id":"https://openalex.org/C2780589192","wikidata":"https://www.wikidata.org/wiki/Q7285140","display_name":"Raising (metalworking)","level":2,"score":0.4754999876022339},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.451200008392334},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.40299999713897705},{"id":"https://openalex.org/C83516724","wikidata":"https://www.wikidata.org/wiki/Q234173","display_name":"Ecological footprint","level":3,"score":0.38589999079704285},{"id":"https://openalex.org/C164749845","wikidata":"https://www.wikidata.org/wiki/Q320389","display_name":"Environmental impact assessment","level":2,"score":0.36649999022483826},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.34279999136924744},{"id":"https://openalex.org/C134560507","wikidata":"https://www.wikidata.org/wiki/Q753291","display_name":"Environmental economics","level":1,"score":0.33799999952316284},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.3375999927520752},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29820001125335693},{"id":"https://openalex.org/C552854447","wikidata":"https://www.wikidata.org/wiki/Q131201","display_name":"Sustainable development","level":2,"score":0.2809999883174896},{"id":"https://openalex.org/C2780331096","wikidata":"https://www.wikidata.org/wiki/Q24965464","display_name":"Energy modeling","level":3,"score":0.25920000672340393},{"id":"https://openalex.org/C520301825","wikidata":"https://www.wikidata.org/wiki/Q380170","display_name":"Energy conservation","level":2,"score":0.25200000405311584},{"id":"https://openalex.org/C2776770324","wikidata":"https://www.wikidata.org/wiki/Q477335","display_name":"Sustainable consumption","level":3,"score":0.25189998745918274},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icecs66544.2025.11270515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs66544.2025.11270515","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 32nd IEEE International Conference on Electronics, Circuits and Systems (ICECS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W3118612008","https://openalex.org/W3157788795","https://openalex.org/W3158659570","https://openalex.org/W4306936180","https://openalex.org/W4387964808","https://openalex.org/W4401071908"],"related_works":[],"abstract_inverted_index":{"The":[0],"increase":[1],"in":[2,57],"carbon":[3],"footprint":[4],"of":[5,64,143,147],"Machine":[6,68],"Learning":[7,69],"(ML)":[8],"models":[9],"has":[10],"raised":[11],"concerns":[12],"about":[13],"their":[14],"environmental":[15,145],"impact,":[16],"as":[17,30],"growing":[18],"computational":[19],"demands":[20],"lead":[21],"to":[22,33,43,87,99,136],"increased":[23],"energy":[24,50,91,114,127],"consumption.":[25],"While":[26],"ML":[27,90,105,126],"is":[28,54],"used":[29],"a":[31,40,55,66,80],"tool":[32],"mitigate":[34],"climate":[35],"change,":[36],"its":[37],"sustainability":[38],"remains":[39],"challenge":[41],"due":[42],"the":[44,58,61,144],"trade-off":[45],"between":[46],"model":[47],"performance":[48],"and":[49,107,118,131,140],"efficiency.":[51],"However,":[52],"there":[53],"gap":[56],"literature":[59],"on":[60],"good":[62],"practice":[63],"building":[65],"Green":[67],"(GML)":[70],"system.":[71],"To":[72],"address":[73],"this":[74,76,133],"gap,":[75],"study":[77,134],"presents":[78],"ECOVIS,":[79],"platform":[81],"concept":[82],"for":[83],"energy-aware":[84],"visual":[85],"analysis":[86],"help":[88],"understand":[89],"consumption":[92,128],"through":[93],"an":[94],"interactive":[95],"dashboard.":[96],"Allowing":[97],"users":[98],"configure":[100],"experiments":[101],"by":[102],"selecting":[103],"datasets,":[104],"models,":[106],"preprocessing":[108],"options,":[109],"then":[110],"visualize":[111],"results,":[112],"including":[113],"consumption,":[115],"execution":[116],"time,":[117],"estimated":[119],"CO<inf":[120],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[121],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</inf>":[122],"emissions.":[123],"By":[124],"making":[125],"more":[129],"accessible":[130],"interpretable,":[132],"contributes":[135],"sustainable":[137],"computing":[138],"practices":[139],"promotes":[141],"awareness":[142],"impact":[146],"AI":[148],"technologies.":[149]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-12-09T00:00:00"}