{"id":"https://openalex.org/W4416799879","doi":"https://doi.org/10.1109/snpd65828.2025.11252912","title":"Reinforcement Learning-Driven Energy Optimization of Industrial Induction Motors under Dynamic Load Conditions","display_name":"Reinforcement Learning-Driven Energy Optimization of Industrial Induction Motors under Dynamic Load Conditions","publication_year":2025,"publication_date":"2025-06-25","ids":{"openalex":"https://openalex.org/W4416799879","doi":"https://doi.org/10.1109/snpd65828.2025.11252912"},"language":null,"primary_location":{"id":"doi:10.1109/snpd65828.2025.11252912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snpd65828.2025.11252912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACIS 29th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5045872272","display_name":"Maryam Sepehrinour","orcid":null},"institutions":[{"id":"https://openalex.org/I86519414","display_name":"Algoma University","ror":"https://ror.org/0131d6623","country_code":"CA","type":"education","lineage":["https://openalex.org/I86519414"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Maryam Sepehrinour","raw_affiliation_strings":["Algoma University GTA,Department of Computer Science and Mathematics,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Algoma University GTA,Department of Computer Science and Mathematics,Canada","institution_ids":["https://openalex.org/I86519414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076981448","display_name":"Alireza Siadatan","orcid":"https://orcid.org/0000-0002-3843-0458"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alireza Siadatan","raw_affiliation_strings":["York University,Department of Electrical Engineering and Computer Science,Toronto,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"York University,Department of Electrical Engineering and Computer Science,Toronto,Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099848951","display_name":"Seham Al Abdul Wahid","orcid":"https://orcid.org/0009-0009-8194-6896"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Seham Al Abdul Wahid","raw_affiliation_strings":["Toronto Metropolitan University,Electrical and Computer Engineering Department,Toronto,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toronto Metropolitan University,Electrical and Computer Engineering Department,Toronto,Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103283614","display_name":"Farah Mohammadi","orcid":"https://orcid.org/0009-0008-9947-3209"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Farah Mohammadi","raw_affiliation_strings":["Toronto Metropolitan University,Electrical and Computer Engineering Department,Toronto,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toronto Metropolitan University,Electrical and Computer Engineering Department,Toronto,Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041995126","display_name":"Arghavan Asad","orcid":"https://orcid.org/0000-0001-9254-9479"},"institutions":[{"id":"https://openalex.org/I86519414","display_name":"Algoma University","ror":"https://ror.org/0131d6623","country_code":"CA","type":"education","lineage":["https://openalex.org/I86519414"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Arghavan Asad","raw_affiliation_strings":["Algoma University,School of Computer Science and Technology,Brampton,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Algoma University,School of Computer Science and Technology,Brampton,Canada","institution_ids":["https://openalex.org/I86519414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.44603807,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"725","last_page":"728"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10504","display_name":"Sensorless Control of Electric Motors","score":0.3384000062942505,"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/T10504","display_name":"Sensorless Control of Electric Motors","score":0.3384000062942505,"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/T10603","display_name":"Smart Grid Energy Management","score":0.12970000505447388,"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/T10223","display_name":"Microgrid Control and Optimization","score":0.08950000256299973,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/induction-motor","display_name":"Induction motor","score":0.7820000052452087},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.6349999904632568},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6008999943733215},{"id":"https://openalex.org/keywords/pid-controller","display_name":"PID controller","score":0.49810001254081726},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4767000079154968},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.3977000117301941},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.39010000228881836},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.37310001254081726},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.34290000796318054}],"concepts":[{"id":"https://openalex.org/C80962145","wikidata":"https://www.wikidata.org/wiki/Q207450","display_name":"Induction motor","level":3,"score":0.7820000052452087},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.6349999904632568},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6008999943733215},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.5770999789237976},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5394999980926514},{"id":"https://openalex.org/C47116090","wikidata":"https://www.wikidata.org/wiki/Q716829","display_name":"PID controller","level":3,"score":0.49810001254081726},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4767000079154968},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3977000117301941},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.39010000228881836},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.3846000134944916},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.37310001254081726},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.37059998512268066},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.34290000796318054},{"id":"https://openalex.org/C144171764","wikidata":"https://www.wikidata.org/wiki/Q48103","display_name":"Torque","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C2776126113","wikidata":"https://www.wikidata.org/wiki/Q1128980","display_name":"Industrial robot","level":3,"score":0.3230000138282776},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3215999901294708},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3118000030517578},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C176871988","wikidata":"https://www.wikidata.org/wiki/Q72313","display_name":"Electric motor","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.28630000352859497},{"id":"https://openalex.org/C520301825","wikidata":"https://www.wikidata.org/wiki/Q380170","display_name":"Energy conservation","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C82753439","wikidata":"https://www.wikidata.org/wiki/Q1419090","display_name":"Industrial production","level":2,"score":0.2824000120162964},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C73916439","wikidata":"https://www.wikidata.org/wiki/Q837718","display_name":"Energy storage","level":3,"score":0.25769999623298645},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2547999918460846}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/snpd65828.2025.11252912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snpd65828.2025.11252912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACIS 29th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Industrial":[0],"induction":[1,34],"motors":[2,35,43],"consume":[3,51],"a":[4,14,24,75],"significant":[5],"portion":[6],"of":[7,126],"global":[8],"electrical":[9],"energy,":[10],"making":[11],"their":[12],"optimization":[13,31],"key":[15],"factor":[16],"in":[17,32,70,105],"sustainable":[18],"industrial":[19,33,47],"operation.":[20],"This":[21],"paper":[22],"presents":[23],"reinforcement":[25,127],"learning-based":[26],"framework":[27,93],"for":[28,129],"real-time":[29],"energy":[30,53,115],"operating":[36],"under":[37,54],"dynamically":[38,81],"varying":[39],"load":[40],"conditions.":[41],"Induction":[42],"are":[44],"central":[45],"to":[46,68,85,109,119],"operations":[48],"but":[49],"often":[50],"excess":[52],"fluctuating":[55],"loads.":[56],"Traditional":[57],"control":[58,83],"systems,":[59],"such":[60],"as":[61],"PID":[62],"or":[63],"fixed":[64],"neural":[65],"networks,":[66],"fail":[67],"adapt":[69],"real":[71,98],"time.":[72],"We":[73],"propose":[74],"Deep":[76],"Q-Network":[77],"(DQN)":[78],"agent":[79],"that":[80],"tunes":[82],"actions":[84],"optimize":[86],"power":[87],"usage":[88],"without":[89],"sacrificing":[90],"performance.":[91],"The":[92],"was":[94],"trained":[95],"on":[96],"both":[97],"telemetry":[99],"and":[100,103],"synthetic":[101],"scenarios":[102],"tested":[104],"MATLAB/Simulink":[106],"simulations.":[107],"Compared":[108],"baseline":[110],"controllers,":[111],"the":[112,124],"DQN":[113],"reduced":[114],"consumption":[116],"by":[117],"up":[118],"22.7%.":[120],"These":[121],"results":[122],"highlight":[123],"viability":[125],"learning":[128],"Industry":[130],"4.0":[131],"automation":[132],"systems.":[133]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-28T00:00:00"}