{"id":"https://openalex.org/W2586716211","doi":"https://doi.org/10.4018/ijmstr.2016070101","title":"Backpropagation Neural Network for Interval Prediction of Three-Phase Ampacity Level in Power Systems","display_name":"Backpropagation Neural Network for Interval Prediction of Three-Phase Ampacity Level in Power Systems","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2586716211","doi":"https://doi.org/10.4018/ijmstr.2016070101","mag":"2586716211"},"language":"en","primary_location":{"id":"doi:10.4018/ijmstr.2016070101","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijmstr.2016070101","pdf_url":null,"source":{"id":"https://openalex.org/S4210228540","display_name":"International Journal of Monitoring and Surveillance Technologies Research","issn_l":"2166-7241","issn":["2166-7241","2166-725X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Monitoring and Surveillance Technologies Research","raw_type":"journal-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/A5006646466","display_name":"Rafik Fainti","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rafik Fainti","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074118906","display_name":"Miltiadis Alamaniotis","orcid":"https://orcid.org/0000-0003-0787-5013"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]},{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Miltiadis Alamaniotis","raw_affiliation_strings":["Nuclear Engineering Program, University of Utah, Salt Lake City, UT, USA & Applied Intelligent Systems Laboratory, School of Nuclear Engineering, Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nuclear Engineering Program, University of Utah, Salt Lake City, UT, USA & Applied Intelligent Systems Laboratory, School of Nuclear Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219","https://openalex.org/I223532165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076719857","display_name":"Lefteri H. Tsoukalas","orcid":"https://orcid.org/0000-0002-6718-1163"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lefteri H. Tsoukalas","raw_affiliation_strings":["School of Nuclear Engineering, Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Nuclear Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9301,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.79382469,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"4","issue":"3","first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998000264167786,"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/T10454","display_name":"Optimal Power Flow Distribution","score":0.9987999796867371,"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/ampacity","display_name":"Ampacity","score":0.8723610043525696},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6305089592933655},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.602954626083374},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.5921945571899414},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.4882562458515167},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4658191204071045},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.459606409072876},{"id":"https://openalex.org/keywords/volatility","display_name":"Volatility (finance)","score":0.435295432806015},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.4279179573059082},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4108753800392151},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.40493229031562805},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3912562429904938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26452457904815674},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26364994049072266},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.23382508754730225},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.1482420563697815},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10459819436073303}],"concepts":[{"id":"https://openalex.org/C7943809","wikidata":"https://www.wikidata.org/wiki/Q1977384","display_name":"Ampacity","level":3,"score":0.8723610043525696},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6305089592933655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.602954626083374},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.5921945571899414},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.4882562458515167},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4658191204071045},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.459606409072876},{"id":"https://openalex.org/C91602232","wikidata":"https://www.wikidata.org/wiki/Q756115","display_name":"Volatility (finance)","level":2,"score":0.435295432806015},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.4279179573059082},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4108753800392151},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.40493229031562805},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3912562429904938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26452457904815674},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26364994049072266},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.23382508754730225},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.1482420563697815},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10459819436073303},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C202374169","wikidata":"https://www.wikidata.org/wiki/Q124291","display_name":"Electrical conductor","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/ijmstr.2016070101","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijmstr.2016070101","pdf_url":null,"source":{"id":"https://openalex.org/S4210228540","display_name":"International Journal of Monitoring and Surveillance Technologies Research","issn_l":"2166-7241","issn":["2166-7241","2166-725X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Monitoring and Surveillance Technologies Research","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8799999952316284,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W263070896","https://openalex.org/W1562919956","https://openalex.org/W1968669926","https://openalex.org/W1973226301","https://openalex.org/W2035501028","https://openalex.org/W2064958695","https://openalex.org/W2078697620","https://openalex.org/W2079488308","https://openalex.org/W2080652035","https://openalex.org/W2107093743","https://openalex.org/W2131030968","https://openalex.org/W2133609801","https://openalex.org/W2164567725","https://openalex.org/W2165076581","https://openalex.org/W2165594353","https://openalex.org/W2166805231","https://openalex.org/W2398154435","https://openalex.org/W2402141875","https://openalex.org/W2419633203","https://openalex.org/W2561280477","https://openalex.org/W2621981825","https://openalex.org/W2911546748","https://openalex.org/W6633844954"],"related_works":["https://openalex.org/W2181505794","https://openalex.org/W3033184681","https://openalex.org/W2981515857","https://openalex.org/W2393022708","https://openalex.org/W2783643390","https://openalex.org/W2363926447","https://openalex.org/W2108704793","https://openalex.org/W2358942783","https://openalex.org/W2385761448","https://openalex.org/W2165451002"],"abstract_inverted_index":{"The":[0,116],"modern":[1],"way":[2],"of":[3,30,42,61,118,135,152],"living":[4],"depends":[5],"on":[6,11],"a":[7,106,126],"very":[8],"high":[9,93],"degree":[10],"electricity":[12],"utilization.":[13],"People":[14],"take":[15],"for":[16,45],"granted":[17],"that":[18,38,50,99],"their":[19,84,89],"energy":[20,79,85],"needs":[21,86],"will":[22],"be":[23,114],"satisfied":[24],"24/7":[25],"which":[26],"mandates":[27],"the":[28,31,40,59,68,74,150],"maintaining":[29],"power":[32,62,75,147],"grid":[33],"in":[34,73,128,145],"stable":[35],"state.":[36],"To":[37],"end,":[39],"development":[41],"precise":[43],"methods":[44],"monitoring":[46],"and":[47,124],"predicting":[48],"events":[49],"might":[51],"disturb":[52],"its":[53],"uninterrupted":[54],"operation":[55],"is":[56,121],"immense.":[57],"Moreover,":[58],"evolvement":[60],"grids":[63,66],"into":[64],"smart":[65,146],"where":[67],"end":[69],"users":[70],"continuously":[71],"participate":[72],"market":[76],"by":[77,82,137],"forming":[78],"prices":[80],"and/or":[81],"adjusting":[83],"according":[87],"to":[88,95,103,122,130],"own":[90],"agenda,":[91],"adds":[92],"volatility":[94],"load":[96],"demand.":[97],"In":[98],"sense,":[100],"with":[101],"regard":[102],"predictive":[104],"methods,":[105],"plain":[107],"single":[108],"point":[109],"prediction":[110],"application":[111],"may":[112],"not":[113],"enough.":[115],"aim":[117],"this":[119,133],"study":[120],"develop":[123],"evaluate":[125],"method":[127],"order":[129],"further":[131],"enhance":[132],"type":[134],"applications":[136],"providing":[138],"Predictive":[139],"Intervals":[140],"(PIs)":[141],"regarding":[142],"ampacity":[143],"overloading":[144],"systems":[148],"through":[149],"use":[151],"Artificial":[153],"Neural":[154],"Networks":[155],"(ANNs).":[156]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
