{"id":"https://openalex.org/W4389372018","doi":"https://doi.org/10.1109/smartgridcomm57358.2023.10333953","title":"Weather-Induced Power Outage Prediction: A Comparison of Machine Learning Models","display_name":"Weather-Induced Power Outage Prediction: A Comparison of Machine Learning Models","publication_year":2023,"publication_date":"2023-10-31","ids":{"openalex":"https://openalex.org/W4389372018","doi":"https://doi.org/10.1109/smartgridcomm57358.2023.10333953"},"language":"en","primary_location":{"id":"doi:10.1109/smartgridcomm57358.2023.10333953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartgridcomm57358.2023.10333953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","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/A5004887313","display_name":"Jasmine Garland","orcid":"https://orcid.org/0000-0002-7966-8462"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]},{"id":"https://openalex.org/I2802236040","display_name":"University of Colorado System","ror":"https://ror.org/00jc20583","country_code":"US","type":"education","lineage":["https://openalex.org/I2802236040"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jasmine Garland","raw_affiliation_strings":["University of Colorado Boulder"],"affiliations":[{"raw_affiliation_string":"University of Colorado Boulder","institution_ids":["https://openalex.org/I2802236040","https://openalex.org/I188538660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089917341","display_name":"Kyri Baker","orcid":"https://orcid.org/0000-0002-6854-9134"},"institutions":[{"id":"https://openalex.org/I2802236040","display_name":"University of Colorado System","ror":"https://ror.org/00jc20583","country_code":"US","type":"education","lineage":["https://openalex.org/I2802236040"]},{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyri Baker","raw_affiliation_strings":["University of Colorado Boulder"],"affiliations":[{"raw_affiliation_string":"University of Colorado Boulder","institution_ids":["https://openalex.org/I2802236040","https://openalex.org/I188538660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052017142","display_name":"Ben Livneh","orcid":"https://orcid.org/0000-0001-5445-2473"},"institutions":[{"id":"https://openalex.org/I2802236040","display_name":"University of Colorado System","ror":"https://ror.org/00jc20583","country_code":"US","type":"education","lineage":["https://openalex.org/I2802236040"]},{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ben Livneh","raw_affiliation_strings":["University of Colorado Boulder"],"affiliations":[{"raw_affiliation_string":"University of Colorado Boulder","institution_ids":["https://openalex.org/I2802236040","https://openalex.org/I188538660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004887313"],"corresponding_institution_ids":["https://openalex.org/I188538660","https://openalex.org/I2802236040"],"apc_list":null,"apc_paid":null,"fwci":0.8302,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71754729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11941","display_name":"Power System Reliability and Maintenance","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11941","display_name":"Power System Reliability and Maintenance","score":0.9995999932289124,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9941999912261963,"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/T12804","display_name":"Thermal Analysis in Power Transmission","score":0.9933000206947327,"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":0.6408200263977051},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6343181133270264},{"id":"https://openalex.org/keywords/duration","display_name":"Duration (music)","score":0.611623227596283},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.5776733756065369},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5470751523971558},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4829946756362915},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4448007345199585},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.4090225398540497},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3987443447113037},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30615904927253723},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2413766086101532},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1790887713432312},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1095837950706482}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6408200263977051},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6343181133270264},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.611623227596283},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.5776733756065369},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5470751523971558},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4829946756362915},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4448007345199585},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4090225398540497},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3987443447113037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30615904927253723},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2413766086101532},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1790887713432312},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1095837950706482},{"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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smartgridcomm57358.2023.10333953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartgridcomm57358.2023.10333953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.8399999737739563,"display_name":"Climate action"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W187456171","https://openalex.org/W1901410642","https://openalex.org/W1974226070","https://openalex.org/W2097224090","https://openalex.org/W2332655816","https://openalex.org/W2343010067","https://openalex.org/W2643540401","https://openalex.org/W2885903200","https://openalex.org/W2902144127","https://openalex.org/W2913820977","https://openalex.org/W3013220599","https://openalex.org/W3114761969","https://openalex.org/W4295598045","https://openalex.org/W4307330363","https://openalex.org/W4310520636","https://openalex.org/W4362631474","https://openalex.org/W4377565664"],"related_works":["https://openalex.org/W2348837382","https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W4231274751","https://openalex.org/W1549363203","https://openalex.org/W2154063878","https://openalex.org/W2556012038","https://openalex.org/W1489772951","https://openalex.org/W1538046993","https://openalex.org/W1995617853"],"abstract_inverted_index":{"This":[0],"study":[1],"investigates":[2],"power":[3,39,71,80,115,142],"outage":[4,59,72,116,143],"duration":[5,73,117],"and":[6,16,74,83,172],"occurrence":[7,144],"for":[8,129,136,179],"the":[9,28,44,89,110,119,152,160,167,170,189],"state":[10],"of":[11,88,98,105,109,169],"California,":[12],"Los":[13],"Angeles":[14],"County,":[15],"Alpine":[17],"County":[18],"using":[19,52,58],"historical":[20],"weather":[21,25],"data.":[22],"With":[23],"extreme":[24],"events":[26],"on":[27,166],"rise,":[29],"many":[30],"areas":[31],"have":[32,184],"seen":[33],"a":[34,63,137],"subsequent":[35],"increase":[36],"in":[37,79,96,103,188],"weather-related":[38,185],"outages.":[40],"To":[41],"better":[42,127],"understand":[43],"relationship":[45],"between":[46],"these":[47,174],"two":[48],"variables,":[49],"generalizable":[50],"frameworks":[51],"publicly":[53],"available":[54],"data":[55,60],"are":[56,91],"investigated,":[57],"down":[61],"to":[62,69,113],"single":[64],"customer.":[65],"These":[66],"models":[67,90,111,147,175],"aim":[68],"predict":[70,114],"occurrence,":[75],"which":[76],"would":[77],"aid":[78],"system":[81],"preparedness":[82],"restoration":[84],"efforts.":[85],"The":[86,156],"results":[87,128,135,157],"also":[92,102],"assessed":[93],"not":[94],"only":[95],"terms":[97,104],"prediction":[99],"accuracy,":[100],"but":[101,132],"reliability":[106,186],"metrics.":[107],"Out":[108],"considered":[112],"(regression),":[118],"Multi-Layer":[120],"Feed-Forward":[121],"Neural":[122],"Network":[123],"(MFFNN)":[124],"showed":[125,133],"significantly":[126],"large":[130],"regions,":[131],"mixed":[134],"small":[138],"region.":[139],"When":[140],"considering":[141],"predictions":[145],"(classification),":[146],"that":[148,159,173,182],"incorporate":[149],"boosting":[150],"outperformed":[151],"more":[153],"simplistic":[154],"models.":[155],"indicate":[158],"optimal":[161],"model":[162],"is":[163],"highly":[164],"dependent":[165],"characteristics":[168],"region,":[171],"can":[176],"prove":[177],"valuable":[178],"identifying":[180],"regions":[181],"will":[183],"impacts":[187],"future.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
