{"id":"https://openalex.org/W7203705378","doi":"https://doi.org/10.13052/spee1048-5236.45311","title":"Hybrid Butterfly\u2013Firefly Machine Learning Optimization for Enhanced Performance of IEEE Distribution Systems","display_name":"Hybrid Butterfly\u2013Firefly Machine Learning Optimization for Enhanced Performance of IEEE Distribution Systems","publication_year":2026,"publication_date":"2026-07-22","ids":{"openalex":"https://openalex.org/W7203705378","doi":"https://doi.org/10.13052/spee1048-5236.45311"},"language":"en","primary_location":{"id":"doi:10.13052/spee1048-5236.45311","doi":"https://doi.org/10.13052/spee1048-5236.45311","is_oa":true,"landing_page_url":"https://doi.org/10.13052/spee1048-5236.45311","pdf_url":"https://journals.riverpublishers.com/index.php/SPEE/article/download/30829/24048","source":{"id":"https://openalex.org/S2764648236","display_name":"Strategic Planning for Energy and the Environment","issn_l":"1048-5236","issn":["1048-5236","1546-0126"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Strategic Planning for Energy and the Environment","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://journals.riverpublishers.com/index.php/SPEE/article/download/30829/24048","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110851737","display_name":"Ragaleela Dalapati Rao","orcid":"https://orcid.org/0000-0002-6602-7527","observed_orcids":["https://orcid.org/0000-0002-6602-7527"]},"institutions":[{"id":"https://openalex.org/I4405259151","display_name":"Prasad V. Potluri Siddhartha Institute of Technology","ror":"https://ror.org/01ttd2w16","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405259151"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ragaleela Dalapati Rao","raw_affiliation_strings":["Department of Electrical & Electronics Engineering, P V P Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical & Electronics Engineering, P V P Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India","institution_ids":["https://openalex.org/I4405259151"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080219596","display_name":"Padmanabha Raju Chinda","orcid":"https://orcid.org/0000-0003-3079-1205","observed_orcids":["https://orcid.org/0000-0003-3079-1205"]},"institutions":[{"id":"https://openalex.org/I4405259151","display_name":"Prasad V. Potluri Siddhartha Institute of Technology","ror":"https://ror.org/01ttd2w16","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405259151"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Padmanabha Raju Chinda","raw_affiliation_strings":["Department of Electrical & Electronics Engineering, P V P Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical & Electronics Engineering, P V P Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India","institution_ids":["https://openalex.org/I4405259151"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4405259151"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.51172545,"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/T10454","display_name":"Optimal Power Flow Distribution","score":0.9717000126838684,"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/T10454","display_name":"Optimal Power Flow Distribution","score":0.9717000126838684,"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/T10305","display_name":"Power System Optimization and Stability","score":0.012400000356137753,"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/T10573","display_name":"Power Quality and Harmonics","score":0.009200000204145908,"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/butterfly-optimization-algorithm","display_name":"butterfly optimization algorithm","score":0.8289999961853027},{"id":"https://openalex.org/keywords/firefly-algorithm","display_name":"firefly algorithm","score":1.0},{"id":"https://openalex.org/keywords/distribution-network-optimization","display_name":"distribution network optimization","score":0.5960000157356262},{"id":"https://openalex.org/keywords/power-loss-reduction","display_name":"power loss reduction","score":0.75},{"id":"https://openalex.org/keywords/total-harmonic-distortion","display_name":"total harmonic distortion","score":0.9139999747276306},{"id":"https://openalex.org/keywords/power-quality","display_name":"power quality","score":0.8640000224113464},{"id":"https://openalex.org/keywords/load-balancing","display_name":"load balancing","score":0.9890000224113464},{"id":"https://openalex.org/keywords/support-vector-regression","display_name":"support vector regression","score":0.8479999899864197},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"multi-objective optimization","score":0.9110000133514404}],"concepts":[{"id":"https://openalex.org/C51566761","wikidata":"https://www.wikidata.org/wiki/Q1235853","display_name":"TOPSIS","level":2,"score":0.6165000200271606},{"id":"https://openalex.org/C154982244","wikidata":"https://www.wikidata.org/wiki/Q5451844","display_name":"Firefly algorithm","level":3,"score":0.5439000129699707},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5385000109672546},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5295000076293945},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.4519999921321869},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4327000081539154},{"id":"https://openalex.org/C62469222","wikidata":"https://www.wikidata.org/wiki/Q17092103","display_name":"Hybrid algorithm (constraint satisfaction)","level":5,"score":0.3950999975204468},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.38190001249313354},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.3808000087738037},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.37869998812675476},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3750999867916107},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.37299999594688416},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3650999963283539},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.3476000130176544},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3375000059604645},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.31850001215934753},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3109000027179718},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.30480000376701355},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.30149999260902405},{"id":"https://openalex.org/C162500139","wikidata":"https://www.wikidata.org/wiki/Q2835887","display_name":"Estimation of distribution algorithm","level":2,"score":0.2953999936580658},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27410000562667847},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C108755667","wikidata":"https://www.wikidata.org/wiki/Q1930258","display_name":"AC power","level":3,"score":0.2590999901294708},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.25360000133514404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.13052/spee1048-5236.45311","doi":"https://doi.org/10.13052/spee1048-5236.45311","is_oa":true,"landing_page_url":"https://doi.org/10.13052/spee1048-5236.45311","pdf_url":"https://journals.riverpublishers.com/index.php/SPEE/article/download/30829/24048","source":{"id":"https://openalex.org/S2764648236","display_name":"Strategic Planning for Energy and the Environment","issn_l":"1048-5236","issn":["1048-5236","1546-0126"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Strategic Planning for Energy and the Environment","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.13052/spee1048-5236.45311","doi":"https://doi.org/10.13052/spee1048-5236.45311","is_oa":true,"landing_page_url":"https://doi.org/10.13052/spee1048-5236.45311","pdf_url":"https://journals.riverpublishers.com/index.php/SPEE/article/download/30829/24048","source":{"id":"https://openalex.org/S2764648236","display_name":"Strategic Planning for Energy and the Environment","issn_l":"1048-5236","issn":["1048-5236","1546-0126"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Strategic Planning for Energy and the Environment","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.9853000044822693,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"},{"score":0.9067000150680542,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7203705378.pdf","grobid_xml":"https://content.openalex.org/works/W7203705378.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4405600746","https://openalex.org/W4226543162","https://openalex.org/W3185750685","https://openalex.org/W4409600027","https://openalex.org/W4393957620","https://openalex.org/W2107805534","https://openalex.org/W2162587108","https://openalex.org/W4417483900","https://openalex.org/W7171303810","https://openalex.org/W3012553062"],"abstract_inverted_index":{"This":[0],"paper":[1],"suggests":[2],"a":[3,30,41,166],"new":[4],"Hybrid":[5,31],"Butterfly-Firefly":[6],"Machine":[7],"Learning":[8],"Optimization":[9,45],"(HBFL-OM)":[10],"framework":[11,164],"to":[12,66,106,111,177],"enhance":[13],"the":[14,18,24,52,59,68,77,108,117,129,140,157],"operational":[15],"performance":[16],"of":[17,29,43,86,93,98,116,154,159],"IEEE":[19,121],"distribution":[20],"systems":[21,126,180],"by":[22],"optimizing":[23],"position":[25],"and":[26,51,70,96,102,123,136,150,168],"setting":[27],"parameters":[28],"Static":[32],"Compensator-Smart":[33],"Voltage":[34],"Stabilizer":[35],"(HSVC).":[36],"The":[37,100,114,163],"HBFL-OM":[38,119],"algorithm":[39,131],"is":[40,64,132],"hybridization":[42],"Butterfly":[44],"Algorithm":[46,54],"(BOA)":[47],"global":[48],"exploration":[49],"method":[50],"Firefly":[53],"(FA)":[55],"local":[56],"refinement,":[57],"where":[58],"Support":[60],"Vector":[61],"Regression":[62],"(SVR)":[63],"added":[65],"learn":[67],"predictions":[69],"converge":[71],"faster.":[72],"They":[73],"are":[74,104],"optimized":[75],"at":[76],"same":[78],"time":[79],"with":[80,139,156],"multi-objective":[81],"functions,":[82],"such":[83],"as":[84],"minimization":[85],"power":[87,89,145,179],"loss,":[88],"quality":[90],"(THD),":[91],"improvement":[92],"reliability":[94,155],"(SAIFI/SAIDI),":[95],"balancing":[97],"loads.":[99],"AHP":[101],"TOPSIS":[103],"used":[105],"determine":[107],"best":[109],"bus":[110],"place":[112],"HSVC.":[113],"performances":[115],"proposed":[118],"on":[120],"33-bus":[122],"69-bus":[124],"test":[125],"prove":[127],"that":[128,172],"given":[130],"better":[133],"than":[134],"GA":[135],"PSO":[137],"algorithms":[138],"subsequent":[141],"results:":[142],"22.1%":[143],"reduced":[144],"losses,":[146],"26%":[147],"improved":[148],"THD,":[149],"20%":[151],"increased":[152],"indices":[153],"preservation":[158],"balanced":[160],"load":[161],"distribution.":[162],"offers":[165],"strong":[167],"data":[169],"driven":[170],"solution":[171],"can":[173],"be":[174],"optimally":[175],"utilized":[176],"optimize":[178],"in":[181],"real-time.":[182]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-08-19T00:00:00"}