{"id":"https://openalex.org/W4406459230","doi":"https://doi.org/10.1109/bigdata62323.2024.10825420","title":"Energy Infrastructure Risk Modeling using Quantum and Classical Machine Learning","display_name":"Energy Infrastructure Risk Modeling using Quantum and Classical Machine Learning","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406459230","doi":"https://doi.org/10.1109/bigdata62323.2024.10825420"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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/A5087388221","display_name":"Neelanga Thelasingha","orcid":"https://orcid.org/0000-0002-6426-895X"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Neelanga Thelasingha","raw_affiliation_strings":["Rensselaer Polytechnic Institute,Troy,NY,USA"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute,Troy,NY,USA","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055253153","display_name":"Thilanka Munasinghe","orcid":"https://orcid.org/0000-0002-0911-750X"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thilanka Munasinghe","raw_affiliation_strings":["Rensselaer Polytechnic Institute,Troy,NY,USA"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute,Troy,NY,USA","institution_ids":["https://openalex.org/I165799507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5087388221"],"corresponding_institution_ids":["https://openalex.org/I165799507"],"apc_list":null,"apc_paid":null,"fwci":0.6885,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73352979,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4611","last_page":"4620"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.9940999746322632,"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":0.9940999746322632,"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/T11941","display_name":"Power System Reliability and Maintenance","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T11807","display_name":"Infrastructure Resilience and Vulnerability Analysis","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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":0.6842361688613892},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4759809076786041},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.4609681963920593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35297656059265137},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11830794811248779},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.08719417452812195}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6842361688613892},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4759809076786041},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.4609681963920593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35297656059265137},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11830794811248779},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.08719417452812195}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2038345694","https://openalex.org/W2089635373","https://openalex.org/W2113188272","https://openalex.org/W2559394418","https://openalex.org/W2731003373","https://openalex.org/W2900145066","https://openalex.org/W2902181097","https://openalex.org/W2913729879","https://openalex.org/W2919115771","https://openalex.org/W2989777768","https://openalex.org/W2989914318","https://openalex.org/W3106719883","https://openalex.org/W3153505674","https://openalex.org/W4200578422","https://openalex.org/W4206419394","https://openalex.org/W4243459278","https://openalex.org/W4296126438","https://openalex.org/W4318559708","https://openalex.org/W4367314375","https://openalex.org/W4381948249","https://openalex.org/W4391243055","https://openalex.org/W4391836764","https://openalex.org/W4396986598","https://openalex.org/W6699365661","https://openalex.org/W6741713682","https://openalex.org/W6867467837"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0],"integrity":[1],"of":[2,124],"energy":[3,39,131],"infrastructure":[4,40,113,132],"is":[5,12],"critical":[6,112],"to":[7,15,75,85,129],"societal":[8],"stability,":[9],"yet":[10],"it":[11],"increasingly":[13],"vulnerable":[14],"diverse":[16],"natural":[17],"and":[18,46,64,105,122,126],"man-made":[19],"hazards.":[20],"These":[21],"hazards":[22],"create":[23],"interdependent":[24],"risks":[25],"that":[26],"challenge":[27],"conventional":[28],"risk":[29,133],"management":[30],"models.":[31],"This":[32,115],"study":[33],"explores":[34],"hazard":[35,77],"modeling":[36],"approaches":[37],"for":[38,107],"using":[41],"classical":[42,96,125],"machine":[43,48],"learning":[44,49],"(ML)":[45],"quantum":[47,73,127],"(QML)":[50],"techniques.":[51],"We":[52],"develop":[53],"Deep":[54],"Neural":[55,66],"Networks":[56,67],"(DNN),":[57],"Na\u00efve":[58],"Bayes":[59],"(NB),":[60],"Decision":[61],"Tree":[62],"(DT),":[63],"Quantum":[65],"(QNN)":[68],"deployed":[69],"in":[70,111],"a":[71,82],"127-qubit":[72],"computer":[74],"classify":[76],"levels.":[78],"Further,":[79],"we":[80],"propose":[81],"Bayesian":[83],"network":[84],"model":[86,120],"vulnerability":[87],"propagation":[88],"within":[89],"the":[90],"infrastructure.":[91],"Comparing":[92],"QML":[93],"models":[94],"against":[95],"ML":[97],"benchmarks":[98],"provides":[99],"insights":[100],"into":[101],"QML\u2019s":[102],"potential":[103],"benefits":[104],"limitations":[106],"complex,":[108],"high-dimensional":[109],"data":[110,118],"applications.":[114],"paper":[116],"presents":[117],"analysis,":[119],"development,":[121],"comparison":[123],"methods":[128],"advance":[130],"modeling.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}