{"id":"https://openalex.org/W4414359273","doi":"https://doi.org/10.24963/ijcai.2025/1080","title":"Uncertainty-aware Predict-Then-Optimize Framework for Equitable Post-Disaster Power Restoration","display_name":"Uncertainty-aware Predict-Then-Optimize Framework for Equitable Post-Disaster Power Restoration","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414359273","doi":"https://doi.org/10.24963/ijcai.2025/1080"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/1080","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/1080","pdf_url":"https://www.ijcai.org/proceedings/2025/1080.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2025/1080.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073852078","display_name":"Lin Jiang","orcid":"https://orcid.org/0000-0003-3149-2733"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lin Jiang","raw_affiliation_strings":["Florida State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida State University","institution_ids":["https://openalex.org/I103163165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100768012","display_name":"Dahai Yu","orcid":"https://orcid.org/0000-0002-0594-5236"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dahai Yu","raw_affiliation_strings":["Florida State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida State University","institution_ids":["https://openalex.org/I103163165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082235101","display_name":"Rongchao Xu","orcid":"https://orcid.org/0000-0002-1542-5162"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rongchao Xu","raw_affiliation_strings":["Florida State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida State University","institution_ids":["https://openalex.org/I103163165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044953009","display_name":"Tian Tang","orcid":"https://orcid.org/0000-0003-3588-6828"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tian Tang","raw_affiliation_strings":["Florida State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida State University","institution_ids":["https://openalex.org/I103163165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069439667","display_name":"Guang Wang","orcid":"https://orcid.org/0000-0002-9660-3425"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guang Wang","raw_affiliation_strings":["Florida State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida State University","institution_ids":["https://openalex.org/I103163165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I103163165"],"apc_list":null,"apc_paid":null,"fwci":6.8836,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.95826822,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"9719","last_page":"9727"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11807","display_name":"Infrastructure Resilience and Vulnerability Analysis","score":0.48820000886917114,"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"}},"topics":[{"id":"https://openalex.org/T11807","display_name":"Infrastructure Resilience and Vulnerability Analysis","score":0.48820000886917114,"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/duration","display_name":"Duration (music)","score":0.6359000205993652},{"id":"https://openalex.org/keywords/equity","display_name":"Equity (law)","score":0.5837000012397766},{"id":"https://openalex.org/keywords/disadvantaged","display_name":"Disadvantaged","score":0.5273000001907349},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4246000051498413},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.37540000677108765},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3005000054836273}],"concepts":[{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.6359000205993652},{"id":"https://openalex.org/C199728807","wikidata":"https://www.wikidata.org/wiki/Q2578557","display_name":"Equity (law)","level":2,"score":0.5837000012397766},{"id":"https://openalex.org/C2780623907","wikidata":"https://www.wikidata.org/wiki/Q106394435","display_name":"Disadvantaged","level":2,"score":0.5273000001907349},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48010000586509705},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4246000051498413},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.4056999981403351},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.37540000677108765},{"id":"https://openalex.org/C134560507","wikidata":"https://www.wikidata.org/wiki/Q753291","display_name":"Environmental economics","level":1,"score":0.33739998936653137},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.31200000643730164},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3005000054836273},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.2978000044822693},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C63817138","wikidata":"https://www.wikidata.org/wiki/Q3455889","display_name":"Quantile regression","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.2874000072479248},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2824999988079071},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.27090001106262207},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2524999976158142},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/1080","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/1080","pdf_url":"https://www.ijcai.org/proceedings/2025/1080.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2025/1080","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/1080","pdf_url":"https://www.ijcai.org/proceedings/2025/1080.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5141323007","display_name":"CoPe RCN: Resilient  Rural Infrastructure","funder_award_id":"1940319","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8284912304","display_name":"Collaborative Research: Energy Efficiency and Energy Justice: Understanding Distributional Impacts of Energy Efficiency and Conservation Programs and the Underlying Mechanisms","funder_award_id":"2315027","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309170","display_name":"Florida State University","ror":"https://ror.org/05g3dte14"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414359273.pdf","grobid_xml":"https://content.openalex.org/works/W4414359273.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"increasing":[1],"frequency":[2],"of":[3,32,107,117],"extreme":[4],"weather":[5],"events,":[6],"such":[7],"as":[8,50],"hurricanes,":[9],"highlights":[10],"the":[11,30,62,105,115,177],"urgent":[12],"need":[13],"for":[14,102,148,166],"efficient":[15],"and":[16,92,114,153,184],"equitable":[17,167],"power":[18,33,73,84,179],"system":[19],"restoration.":[20],"Many":[21],"electricity":[22],"providers":[23],"make":[24],"restoration":[25,34,57,64,85,90],"decisions":[26],"primarily":[27],"based":[28],"on":[29],"volume":[31],"requests":[35],"from":[36],"each":[37],"region.":[38],"However,":[39,96],"our":[40,173],"data-driven":[41],"analysis":[42],"reveals":[43],"significant":[44],"disparities":[45],"in":[46],"request":[47],"submission":[48],"volume,":[49],"disadvantaged":[51],"communities":[52,69,189],"tend":[53],"to":[54,71,80,121,160,193],"submit":[55],"fewer":[56],"requests.":[58],"This":[59],"disparity":[60],"makes":[61],"current":[63],"solution":[65],"inequitable,":[66],"leaving":[67],"these":[68,131],"vulnerable":[70],"extended":[72],"outages.":[74],"To":[75,129],"address":[76],"this,":[77],"we":[78,133],"aim":[79],"propose":[81],"an":[82],"equity-aware":[83],"strategy":[86],"that":[87,158,172],"balances":[88],"both":[89],"efficiency":[91],"equity":[93],"across":[94,164],"communities.":[95],"achieving":[97],"this":[98],"goal":[99],"is":[100],"challenging":[101],"two":[103,141],"reasons:":[104],"difficulty":[106],"predicting":[108],"repair":[109,150],"durations":[110],"under":[111],"dataset":[112],"heteroscedasticity,":[113],"tendency":[116],"reinforcement":[118],"learning":[119],"agents":[120],"favor":[122],"low-uncertainty":[123],"actions,":[124],"which":[125],"potentially":[126],"undermine":[127],"equity.":[128],"overcome":[130],"challenges,":[132],"design":[134],"a":[135],"predict-then-optimize":[136],"framework":[137],"called":[138],"EPOPR":[139,174],"with":[140],"key":[142],"components:":[143],"(1)":[144],"Equity-Conformalized":[145],"Quantile":[146],"Regression":[147],"uncertainty-aware":[149],"duration":[151,181],"prediction,":[152],"(2)":[154],"Spatial-Temporal":[155],"Attentional":[156],"RL":[157],"adapts":[159],"varying":[161],"uncertainty":[162],"levels":[163],"regions":[165],"decision-making.":[168],"Experimental":[169],"results":[170],"show":[171],"effectively":[175],"reduces":[176],"average":[178],"outage":[180],"by":[182,190],"3.60%":[183],"decreases":[185],"inequity":[186],"between":[187],"different":[188],"14.19%":[191],"compared":[192],"state-of-the-art":[194],"baselines.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
