{"id":"https://openalex.org/W4406458540","doi":"https://doi.org/10.1109/bigdata62323.2024.10825805","title":"Power Outage Forecasting for System Resiliency during Extreme Weather Events","display_name":"Power Outage Forecasting for System Resiliency during Extreme Weather Events","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406458540","doi":"https://doi.org/10.1109/bigdata62323.2024.10825805"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825805","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/A5080258482","display_name":"Anika Tabassum","orcid":"https://orcid.org/0000-0002-5460-0955"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Anika Tabassum","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101595607","display_name":"Sangkeun Lee","orcid":"https://orcid.org/0000-0002-1317-5112"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sangkeun Lee","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101886356","display_name":"Narayan Bhusal","orcid":"https://orcid.org/0000-0002-2275-2145"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Narayan Bhusal","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5041052894","display_name":"Supriya Chinthavali","orcid":"https://orcid.org/0000-0002-4611-1086"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Supriya Chinthavali","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5080258482"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4778,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74843546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"8849","last_page":"8851"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.9771000146865845,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.9771000146865845,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11807","display_name":"Infrastructure Resilience and Vulnerability Analysis","score":0.9556000232696533,"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"}},{"id":"https://openalex.org/T11941","display_name":"Power System Reliability and Maintenance","score":0.9192000031471252,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/extreme-weather","display_name":"Extreme weather","score":0.7518040537834167},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5349805355072021},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4898940920829773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4598883092403412},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.4373979866504669},{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.4244951605796814},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3930180072784424},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.3245809078216553},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2017703652381897},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.1731034219264984},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12909448146820068},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10466352105140686},{"id":"https://openalex.org/keywords/oceanography","display_name":"Oceanography","score":0.06448426842689514}],"concepts":[{"id":"https://openalex.org/C205537798","wikidata":"https://www.wikidata.org/wiki/Q1277161","display_name":"Extreme weather","level":3,"score":0.7518040537834167},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5349805355072021},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4898940920829773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4598883092403412},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.4373979866504669},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.4244951605796814},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3930180072784424},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.3245809078216553},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2017703652381897},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.1731034219264984},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12909448146820068},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10466352105140686},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.06448426842689514},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825805","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":[{"score":0.8399999737739563,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320316892","display_name":"UT-Battelle","ror":"https://ror.org/04nza6677"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W564048488","https://openalex.org/W4390204277","https://openalex.org/W6615821545"],"related_works":["https://openalex.org/W2958561312","https://openalex.org/W1480156024","https://openalex.org/W3092347950","https://openalex.org/W65938850","https://openalex.org/W275718980","https://openalex.org/W2361731950","https://openalex.org/W2618707070","https://openalex.org/W4223932376","https://openalex.org/W188660134","https://openalex.org/W3174060799"],"abstract_inverted_index":{"Extreme":[0],"weather":[1,56,85,117,151,172,188],"events,":[2],"such":[3,41,99],"as":[4,42],"hurricanes,":[5],"tornadoes,":[6],"and":[7,24,45,74,93,182],"floods,":[8],"have":[9],"caused":[10],"significant":[11],"damage":[12,28],"to":[13,54,58,64,109,131,162,167,180],"power":[14,33,50,81],"grid":[15,76,96,111,144],"systems,":[16],"affecting":[17],"critical":[18],"infrastructures":[19],"like":[20],"substations,":[21],"transmission":[22],"lines,":[23],"generation":[25],"plants.":[26],"This":[27],"often":[29],"results":[30],"in":[31,35,67,146],"widespread":[32],"outages":[34,82],"disaster-affected":[36],"areas,":[37],"disrupting":[38],"essential":[39],"services":[40],"healthcare,":[43],"transportation,":[44],"national":[46],"security.":[47],"Annually,":[48],"these":[49],"outage":[51],"events":[52,118],"due":[53],"extreme":[55,116,171,187],"lead":[57],"economic":[59],"losses":[60],"ranging":[61],"from":[62],"25":[63],"70":[65],"billion":[66],"the":[68,78,133],"United":[69],"States":[70],"[1]":[71],").":[72],"Analyzing":[73],"understanding":[75],"resiliency\u2014particularly":[77],"dynamics":[79],"of":[80],"under":[83,114],"various":[84,120],"events\u2014":[86],"is":[87],"crucial":[88],"for":[89,148,185],"effective":[90],"resource":[91],"planning":[92],"maintaining":[94],"reliable":[95],"operations":[97],"during":[98,170],"events.":[100],"In":[101],"this":[102],"study,":[103],"we":[104,129],"conducted":[105],"a":[106,149,154,164],"preliminary":[107],"analysis":[108],"model":[110,166,181],"system":[112],"resiliency":[113,145,169,184],"different":[115],"across":[119],"states.":[121],"Leveraging":[122],"state-of-the-art":[123],"deep":[124],"learning":[125,141],"time-series":[126],"forecasting":[127],"models,":[128],"aim":[130],"address":[132],"following":[134],"research":[135],"questions:":[136],"\u2022":[137,157,174],"(R1)":[138],"Can":[139],"machine":[140],"models":[142],"predict":[143,183],"advance":[147],"given":[150],"event":[152],"at":[153],"specific":[155],"location?":[156],"(R2)":[158],"Is":[159,176],"it":[160],"feasible":[161],"develop":[163],"generalized":[165],"understand":[168],"events?":[173,189],"(R3)":[175],"historical":[177],"data":[178],"sufficient":[179],"future":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}