{"id":"https://openalex.org/W7128327406","doi":null,"title":"SMART UTILIZATION OF ELECTRICAL ENERGY IN INDUSTRY USING IOT SENSORS AND MACHINE LEARNING","display_name":"SMART UTILIZATION OF ELECTRICAL ENERGY IN INDUSTRY USING IOT SENSORS AND MACHINE LEARNING","publication_year":2025,"publication_date":"2025-05-01","ids":{"openalex":"https://openalex.org/W7128327406"},"language":"en","primary_location":{"id":"pmh:oai:doaj.org/article:9cae1f116921475399eb126408ad8320","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/9cae1f116921475399eb126408ad8320","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,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fiabilitate \u015fi Durabilitate, Vol 18, Iss 1, Pp 284-291 (2025)","raw_type":"article"},"volume":null,"type":"article","indexed_in":["doaj"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doaj.org/article/9cae1f116921475399eb126408ad8320","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5116344108","display_name":"Dan Cristian Lazar","orcid":"https://orcid.org/0009-0003-3365-8255","observed_orcids":["https://orcid.org/0009-0003-3365-8255"]},"institutions":[{"id":"https://openalex.org/I4210149165","display_name":"Universitatea Din Petrosani","ror":"https://ror.org/055k3dh55","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210149165"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Dan Cristian LAZ\u0102R","raw_affiliation_strings":["University of Petro\u0219ani, Doctoral School of Industrial Engineering, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Petro\u0219ani, Doctoral School of Industrial Engineering, Romania","institution_ids":["https://openalex.org/I4210149165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009870052","display_name":"Dan Codru\u021b Petrilean","orcid":"https://orcid.org/0000-0003-3111-3051","observed_orcids":["https://orcid.org/0000-0003-3111-3051"]},"institutions":[{"id":"https://openalex.org/I4210149165","display_name":"Universitatea Din Petrosani","ror":"https://ror.org/055k3dh55","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210149165"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Dan Codru\u021b PETRILEAN","raw_affiliation_strings":["University of Petro\u0219ani, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Petro\u0219ani, Romania","institution_ids":["https://openalex.org/I4210149165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048401864","display_name":"Drago\u0219 P\u0103sculescu","orcid":"https://orcid.org/0000-0002-4471-9151","observed_orcids":["https://orcid.org/0000-0002-4471-9151"]},"institutions":[{"id":"https://openalex.org/I4210149165","display_name":"Universitatea Din Petrosani","ror":"https://ror.org/055k3dh55","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210149165"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Drago\u0219 P\u0102SCULESCU","raw_affiliation_strings":["University of Petro\u0219ani, Faculty of Mechanical and Electrical Engineering, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Petro\u0219ani, Faculty of Mechanical and Electrical Engineering, Romania","institution_ids":["https://openalex.org/I4210149165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053582186","display_name":"Teodora Laz\u0103r","orcid":"https://orcid.org/0009-0004-5640-3826","observed_orcids":["https://orcid.org/0009-0004-5640-3826"]},"institutions":[{"id":"https://openalex.org/I4210149165","display_name":"Universitatea Din Petrosani","ror":"https://ror.org/055k3dh55","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210149165"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Teodora LAZ\u0102R","raw_affiliation_strings":["University of Petro\u0219ani, Faculty of Mechanical and Electrical Engineering, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Petro\u0219ani, Faculty of Mechanical and Electrical Engineering, Romania","institution_ids":["https://openalex.org/I4210149165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054488413","display_name":"Nelu Mija","orcid":"https://orcid.org/0000-0002-5974-2848","observed_orcids":["https://orcid.org/0000-0002-5974-2848"]},"institutions":[{"id":"https://openalex.org/I4210149165","display_name":"Universitatea Din Petrosani","ror":"https://ror.org/055k3dh55","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210149165"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Nelu MIJA","raw_affiliation_strings":["University of Petro\u0219ani, Faculty of Mechanical and Electrical Engineering, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Petro\u0219ani, Faculty of Mechanical and Electrical Engineering, Romania","institution_ids":["https://openalex.org/I4210149165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210149165"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23200517,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11954","display_name":"Energy Efficiency and Management","score":0.5615000128746033,"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"}},"topics":[{"id":"https://openalex.org/T11954","display_name":"Energy Efficiency and Management","score":0.5615000128746033,"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"}},{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.2079000025987625,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.133200004696846,"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/industrial-energy-efficiency","display_name":"industrial energy efficiency","score":0.8169999718666077},{"id":"https://openalex.org/keywords/iot-sensors","display_name":"IoT sensors","score":0.8190000057220459},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.9760000109672546},{"id":"https://openalex.org/keywords/energy-monitoring","display_name":"energy consumption monitoring","score":0.5410000085830688},{"id":"https://openalex.org/keywords/predictive-maintenance","display_name":"predictive maintenance","score":0.7860000133514404}],"concepts":[{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.6238999962806702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.553600013256073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4814999997615814},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47530001401901245},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4749000072479248},{"id":"https://openalex.org/C2777986313","wikidata":"https://www.wikidata.org/wiki/Q1661989","display_name":"Industry 4.0","level":2,"score":0.46219998598098755},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4507000148296356},{"id":"https://openalex.org/C123745756","wikidata":"https://www.wikidata.org/wiki/Q1665949","display_name":"Interconnection","level":2,"score":0.3828999996185303},{"id":"https://openalex.org/C176563091","wikidata":"https://www.wikidata.org/wiki/Q669238","display_name":"Intelligent sensor","level":3,"score":0.3328000009059906},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.3327000141143799},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3253999948501587},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.32019999623298645},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31859999895095825},{"id":"https://openalex.org/C98576551","wikidata":"https://www.wikidata.org/wiki/Q841798","display_name":"Electric potential energy","level":3,"score":0.2904999852180481},{"id":"https://openalex.org/C70452415","wikidata":"https://www.wikidata.org/wiki/Q3182448","display_name":"Predictive maintenance","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.2766999900341034},{"id":"https://openalex.org/C2984282874","wikidata":"https://www.wikidata.org/wiki/Q10952243","display_name":"Industrial equipment","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.257999986410141},{"id":"https://openalex.org/C2988642114","wikidata":"https://www.wikidata.org/wiki/Q25112020","display_name":"Smart manufacturing","level":2,"score":0.2574999928474426},{"id":"https://openalex.org/C76763059","wikidata":"https://www.wikidata.org/wiki/Q251072","display_name":"Machine to machine","level":3,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:doaj.org/article:9cae1f116921475399eb126408ad8320","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/9cae1f116921475399eb126408ad8320","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,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fiabilitate \u015fi Durabilitate, Vol 18, Iss 1, Pp 284-291 (2025)","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:doaj.org/article:9cae1f116921475399eb126408ad8320","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/9cae1f116921475399eb126408ad8320","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,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fiabilitate \u015fi Durabilitate, Vol 18, Iss 1, Pp 284-291 (2025)","raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":1.0}],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6881359219551086}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"IoT":[0,27],"and":[1,12,44,61],"Machine":[2,35],"Learning":[3,36],"technologies":[4],"have":[5],"become":[6],"essential":[7],"in":[8],"both":[9],"academic":[10],"research":[11],"industrial":[13,19],"applications,":[14],"enabling":[15],"the":[16,22,40,45,54,66,69],"optimization":[17],"of":[18,25,42,48,68],"processes":[20],"through":[21],"intelligent":[23],"interconnection":[24],"devices.":[26],"sensors":[28],"collect":[29],"data":[30],"that,":[31],"when":[32],"analyzed":[33],"using":[34],"algorithms,":[37],"allow":[38],"for":[39],"prediction":[41],"failures":[43],"automatic":[46],"adjustment":[47],"equipment":[49],"operation.":[50],"As":[51],"a":[52],"result,":[53],"energy":[55],"infrastructure":[56],"becomes":[57],"smarter,":[58],"more":[59],"efficient,":[60],"sustainable,":[62],"effectively":[63],"responding":[64],"to":[65],"challenges":[67],"future.":[70]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2026-02-09T00:00:00"}