{"id":"https://openalex.org/W4289637495","doi":"https://doi.org/10.1155/2022/7319010","title":"Performance Analysis of an Optimized ANN Model to Predict the Stability of Smart Grid","display_name":"Performance Analysis of an Optimized ANN Model to Predict the Stability of Smart Grid","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4289637495","doi":"https://doi.org/10.1155/2022/7319010"},"language":"en","primary_location":{"id":"doi:10.1155/2022/7319010","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/7319010","pdf_url":"https://downloads.hindawi.com/journals/complexity/2022/7319010.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2022/7319010.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018245671","display_name":"Ayushi Chahal","orcid":"https://orcid.org/0000-0003-3482-9565"},"institutions":[{"id":"https://openalex.org/I905734797","display_name":"Maharshi Dayanand University","ror":"https://ror.org/03kaab451","country_code":"IN","type":"education","lineage":["https://openalex.org/I905734797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ayushi Chahal","raw_affiliation_strings":["Department of Computer Science & Applications, Maharshi Dayanand University, Rohtak, Haryana, India","Department of Computer Science & Applications, Maharshi Dayanand University, Rohtak, Haryana"],"raw_orcid":"https://orcid.org/0000-0003-3482-9565","affiliations":[{"raw_affiliation_string":"Department of Computer Science & Applications, Maharshi Dayanand University, Rohtak, Haryana, India","institution_ids":["https://openalex.org/I905734797"]},{"raw_affiliation_string":"Department of Computer Science & Applications, Maharshi Dayanand University, Rohtak, Haryana","institution_ids":["https://openalex.org/I905734797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050940035","display_name":"Preeti Gulia","orcid":"https://orcid.org/0000-0001-8535-4016"},"institutions":[{"id":"https://openalex.org/I905734797","display_name":"Maharshi Dayanand University","ror":"https://ror.org/03kaab451","country_code":"IN","type":"education","lineage":["https://openalex.org/I905734797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Preeti Gulia","raw_affiliation_strings":["Department of Computer Science & Applications, Maharshi Dayanand University, Rohtak, Haryana, India","Department of Computer Science & Applications, Maharshi Dayanand University, Rohtak, Haryana"],"raw_orcid":"https://orcid.org/0000-0001-8535-4016","affiliations":[{"raw_affiliation_string":"Department of Computer Science & Applications, Maharshi Dayanand University, Rohtak, Haryana, India","institution_ids":["https://openalex.org/I905734797"]},{"raw_affiliation_string":"Department of Computer Science & Applications, Maharshi Dayanand University, Rohtak, Haryana","institution_ids":["https://openalex.org/I905734797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019909434","display_name":"Nasib Singh Gill","orcid":"https://orcid.org/0000-0002-8594-4320"},"institutions":[{"id":"https://openalex.org/I905734797","display_name":"Maharshi Dayanand University","ror":"https://ror.org/03kaab451","country_code":"IN","type":"education","lineage":["https://openalex.org/I905734797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nasib Singh Gill","raw_affiliation_strings":["Department of Computer Science & Applications, Maharshi Dayanand University, Rohtak, Haryana, India","Department of Computer Science & Applications, Maharshi Dayanand University, Rohtak, Haryana"],"raw_orcid":"https://orcid.org/0000-0002-8594-4320","affiliations":[{"raw_affiliation_string":"Department of Computer Science & Applications, Maharshi Dayanand University, Rohtak, Haryana, India","institution_ids":["https://openalex.org/I905734797"]},{"raw_affiliation_string":"Department of Computer Science & Applications, Maharshi Dayanand University, Rohtak, Haryana","institution_ids":["https://openalex.org/I905734797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035288030","display_name":"Jyotir Moy Chatterjee","orcid":"https://orcid.org/0000-0003-2527-916X"},"institutions":[{"id":"https://openalex.org/I4387155019","display_name":"Lord Buddha Education Foundation","ror":"https://ror.org/04xvp2z22","country_code":null,"type":"education","lineage":["https://openalex.org/I4387155019"]}],"countries":["NP"],"is_corresponding":true,"raw_author_name":"Jyotir Moy Chatterjee","raw_affiliation_strings":["Department of Information Technology, Lord Buddha Education Foundation, Kathmandu, Nepal","Department of Information Technology, Lord Buddha Education Foundation, Kathmandu"],"raw_orcid":"https://orcid.org/0000-0003-2527-916X","affiliations":[{"raw_affiliation_string":"Department of Information Technology, Lord Buddha Education Foundation, Kathmandu, Nepal","institution_ids":["https://openalex.org/I4387155019"]},{"raw_affiliation_string":"Department of Information Technology, Lord Buddha Education Foundation, Kathmandu","institution_ids":["https://openalex.org/I4387155019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035288030"],"corresponding_institution_ids":["https://openalex.org/I4387155019"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":3.6387,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.93271849,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2022","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9965999722480774,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9955999851226807,"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/computer-science","display_name":"Computer science","score":0.7455281019210815},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6681164503097534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6609970927238464},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.6199268102645874},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6068581938743591},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6038026809692383},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6024106740951538},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.59999680519104},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5826753973960876},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5509712100028992},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46624985337257385},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.45214447379112244},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.4131818413734436},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09299933910369873}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7455281019210815},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6681164503097534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6609970927238464},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.6199268102645874},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6068581938743591},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6038026809692383},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6024106740951538},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.59999680519104},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5826753973960876},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5509712100028992},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46624985337257385},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.45214447379112244},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.4131818413734436},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09299933910369873},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2022/7319010","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/7319010","pdf_url":"https://downloads.hindawi.com/journals/complexity/2022/7319010.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:7319010","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/complexity/2022/7319010.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:9bd2a64dbd92419f925ec8ebcfd94566","is_oa":true,"landing_page_url":"https://doaj.org/article/9bd2a64dbd92419f925ec8ebcfd94566","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,"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":"Complexity, Vol 2022 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2022/7319010","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/7319010","pdf_url":"https://downloads.hindawi.com/journals/complexity/2022/7319010.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.49000000953674316,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4289637495.pdf","grobid_xml":"https://content.openalex.org/works/W4289637495.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1875028359","https://openalex.org/W1970361289","https://openalex.org/W1978090079","https://openalex.org/W1979579834","https://openalex.org/W2087381027","https://openalex.org/W2103647733","https://openalex.org/W2145649595","https://openalex.org/W2159863808","https://openalex.org/W2162387923","https://openalex.org/W2295598076","https://openalex.org/W2342408507","https://openalex.org/W2561071938","https://openalex.org/W2574388714","https://openalex.org/W2594877703","https://openalex.org/W2742473260","https://openalex.org/W2745984165","https://openalex.org/W2749564165","https://openalex.org/W2805797750","https://openalex.org/W2902022791","https://openalex.org/W2907560147","https://openalex.org/W2912290085","https://openalex.org/W2913573984","https://openalex.org/W2984384827","https://openalex.org/W2998102134","https://openalex.org/W3008115674","https://openalex.org/W3015217902","https://openalex.org/W3022392400","https://openalex.org/W3023111416","https://openalex.org/W3040251430","https://openalex.org/W3082520635","https://openalex.org/W3091939691","https://openalex.org/W3097704033","https://openalex.org/W3104060823","https://openalex.org/W3118786595","https://openalex.org/W3121114794","https://openalex.org/W3124111964","https://openalex.org/W3135351349","https://openalex.org/W3138360497","https://openalex.org/W3143044362","https://openalex.org/W3159456735","https://openalex.org/W3184484502","https://openalex.org/W3193536302","https://openalex.org/W3194146037","https://openalex.org/W3213108513","https://openalex.org/W4210329219","https://openalex.org/W4239612594","https://openalex.org/W4254588185","https://openalex.org/W4299837303"],"related_works":["https://openalex.org/W4321636153","https://openalex.org/W4377964522","https://openalex.org/W4281846282","https://openalex.org/W4384345534","https://openalex.org/W3107429030","https://openalex.org/W4383535405","https://openalex.org/W3013497550","https://openalex.org/W4214951795","https://openalex.org/W4221021152","https://openalex.org/W3137532542"],"abstract_inverted_index":{"The":[0,99,134,167],"stability":[1,40],"of":[2,39,52],"the":[3,10,37,43,50,128,143,150],"power":[4],"grid":[5,58,93],"is":[6],"concernment":[7],"due":[8],"to":[9,15,35,55,95,114,127,130],"high":[11],"demand":[12],"and":[13,20,27,79,111,121,177],"supply":[14],"smart":[16,91],"cities,":[17],"homes,":[18],"factories,":[19],"so":[21],"on.":[22],"Different":[23,61],"machine":[24],"learning":[25,29,152],"(ML)":[26],"deep":[28,151],"(DL)":[30],"models":[31],"can":[32],"be":[33],"used":[34],"tackle":[36],"problem":[38],"prediction":[41,62],"for":[42],"energy":[44,57,92],"grid.":[45],"This":[46,146],"study":[47,147],"elaborates":[48],"on":[49,88],"necessity":[51],"IoT":[53],"technology":[54],"make":[56],"networks":[59],"smart.":[60],"models,":[63],"namely,":[64],"logistic":[65],"regression,":[66],"na\u00efve":[67],"Bayes,":[68],"decision":[69],"tree,":[70],"support":[71],"vector":[72],"machine,":[73],"random":[74],"forest,":[75],"XGBoost,":[76],"k\u2010nearest":[77],"neighbor,":[78],"optimized":[80,156],"artificial":[81],"neural":[82],"network":[83],"(ANN),":[84],"have":[85,124],"been":[86,125],"applied":[87,126],"openly":[89],"available":[90],"datasets":[94],"predict":[96],"their":[97],"stability.":[98],"present":[100],"article":[101],"uses":[102],"metrics":[103],"such":[104],"as":[105,140],"accuracy,":[106,172],"precision,":[107,174],"recall,":[108,176],"f":[109],"1\u2010score,":[110],"ROC":[112],"curve":[113],"compare":[115],"different":[116],"predictive":[117,153,165],"models.":[118,166],"Data":[119],"augmentation":[120],"feature":[122],"scaling":[123],"dataset":[129,136],"get":[131],"better":[132,138,161],"results.":[133],"augmented":[135],"provides":[137,160,170],"results":[139,162],"compared":[141],"with":[142,157],"normal":[144],"dataset.":[145],"concludes":[148],"that":[149],"model":[154,169],"ANN":[155,168],"Adam":[158],"optimizer":[159],"than":[163],"other":[164],"97.27%":[171],"96.79%":[173],"95.67%":[175],"96.22%":[178],"F":[179],"1":[180],"score.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}