{"id":"https://openalex.org/W2033503914","doi":"https://doi.org/10.1109/ciasg.2011.5953344","title":"Comparison of TDNN and RNN performances for neuro-identification on small to medium-sized power systems","display_name":"Comparison of TDNN and RNN performances for neuro-identification on small to medium-sized power systems","publication_year":2011,"publication_date":"2011-04-01","ids":{"openalex":"https://openalex.org/W2033503914","doi":"https://doi.org/10.1109/ciasg.2011.5953344","mag":"2033503914"},"language":"en","primary_location":{"id":"doi:10.1109/ciasg.2011.5953344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciasg.2011.5953344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Symposium on Computational Intelligence Applications In Smart Grid (CIASG)","raw_type":"proceedings-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/A5065841830","display_name":"Diogenes Molina","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Diogenes Molina","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101696564","display_name":"Jiaqi Liang","orcid":"https://orcid.org/0000-0002-3796-9785"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiaqi Liang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041449035","display_name":"Ron Harley","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ron Harley","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064203120","display_name":"Ganesh K. Venayagamoorthy","orcid":"https://orcid.org/0000-0003-3154-8119"},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ganesh K. Venayagamoorthy","raw_affiliation_strings":["Real-Time Power and Intelligent System Laboratory, Missouri University of Science and Technology, Rolla, MO, USA","Real-Time Power and Intelligent System Laboratory, Missouri University of Science and Technology, Rolla, MO 65409, USA"],"affiliations":[{"raw_affiliation_string":"Real-Time Power and Intelligent System Laboratory, Missouri University of Science and Technology, Rolla, MO, USA","institution_ids":["https://openalex.org/I20382870"]},{"raw_affiliation_string":"Real-Time Power and Intelligent System Laboratory, Missouri University of Science and Technology, Rolla, MO 65409, USA","institution_ids":["https://openalex.org/I20382870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065841830"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.7949,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.75237433,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10305","display_name":"Power System Optimization and Stability","score":0.9995999932289124,"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/T10305","display_name":"Power System Optimization and Stability","score":0.9995999932289124,"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":0.9991999864578247,"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/T10972","display_name":"Power Systems Fault Detection","score":0.9940000176429749,"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/computer-science","display_name":"Computer science","score":0.7464434504508972},{"id":"https://openalex.org/keywords/identifier","display_name":"Identifier","score":0.7260860204696655},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6786441802978516},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.6129299998283386},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.6090437769889832},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6018548011779785},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5799283385276794},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4638161063194275},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.45237669348716736},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43044495582580566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39526253938674927},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08184906840324402}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7464434504508972},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.7260860204696655},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6786441802978516},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.6129299998283386},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.6090437769889832},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6018548011779785},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5799283385276794},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4638161063194275},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.45237669348716736},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43044495582580566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39526253938674927},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08184906840324402},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciasg.2011.5953344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciasg.2011.5953344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Symposium on Computational Intelligence Applications In Smart Grid (CIASG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337395","display_name":"Division of Emerging Frontiers in Research and Innovation","ror":"https://ror.org/0388pet74"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1581242383","https://openalex.org/W1763243278","https://openalex.org/W1900101064","https://openalex.org/W1907822526","https://openalex.org/W2016043834","https://openalex.org/W2039238531","https://openalex.org/W2051812123","https://openalex.org/W2057965886","https://openalex.org/W2098139515","https://openalex.org/W2107163632","https://openalex.org/W2110410858","https://openalex.org/W2111051539","https://openalex.org/W2111099240","https://openalex.org/W2124473960","https://openalex.org/W2124776405","https://openalex.org/W2137708229","https://openalex.org/W2138484437","https://openalex.org/W2158671777","https://openalex.org/W2168908081","https://openalex.org/W2534206517","https://openalex.org/W2544557861","https://openalex.org/W3102635321","https://openalex.org/W4252442742","https://openalex.org/W4253226372","https://openalex.org/W6680278374"],"related_works":["https://openalex.org/W4378651134","https://openalex.org/W4252684102","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W2352307597","https://openalex.org/W1979633005","https://openalex.org/W2163724607","https://openalex.org/W3135403405","https://openalex.org/W2023227762","https://openalex.org/W1847088711"],"abstract_inverted_index":{"For":[0],"Artificial":[1],"Neural":[2],"Networks":[3],"(ANN)":[4],"to":[5,30,59,128],"become":[6],"more":[7],"widely":[8],"used":[9,94],"in":[10,123],"power":[11,40,66,91],"systems":[12],"and":[13,32,35,69,77,80],"the":[14,46,78,96,100,116,121,124,138],"future":[15],"smart":[16],"grids,":[17],"ANN":[18,52],"based":[19,53],"algorithms":[20],"must":[21],"be":[22],"capable":[23,112],"of":[24,38,48,64,82,113,115,133],"scaling":[25,49,73],"up":[26,50,74],"as":[27,55,95,137],"they":[28],"try":[29],"identify":[31,60],"control":[33],"larger":[34,36,62],"parts":[37],"a":[39,65,107],"system.":[41,67],"This":[42],"paper":[43],"goes":[44],"through":[45],"process":[47],"an":[51,130],"identifier":[54],"it":[56],"is":[57,93,103,111,141],"driven":[58],"increasingly":[61],"portions":[63],"Distributed":[68],"centralized":[70],"approaches":[71],"for":[72,99],"are":[75,84],"taken":[76],"pros":[79],"cons":[81],"each":[83],"presented.":[85],"The":[86],"New":[87],"England/New":[88],"York":[89],"68-bus":[90],"network":[92],"test":[97],"bed":[98],"studies.":[101],"It":[102],"shown":[104],"that":[105],"while":[106],"fully-connected":[108],"(centralized)":[109],"ANNs":[110],"identification":[114],"system":[117,139],"with":[118],"appropriate":[119],"accuracy,":[120],"increase":[122],"training":[125],"times":[126],"required":[127],"obtain":[129],"acceptable":[131],"set":[132],"weights":[134],"becomes":[135],"prohibitive":[136],"size":[140],"increased.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
