{"id":"https://openalex.org/W4417148844","doi":"https://doi.org/10.1109/tsg.2025.3642407","title":"Global-Decision-Focused Neural ODEs for Proactive Grid Resilience Management","display_name":"Global-Decision-Focused Neural ODEs for Proactive Grid Resilience Management","publication_year":2025,"publication_date":"2025-12-10","ids":{"openalex":"https://openalex.org/W4417148844","doi":"https://doi.org/10.1109/tsg.2025.3642407"},"language":"en","primary_location":{"id":"doi:10.1109/tsg.2025.3642407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2025.3642407","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Smart Grid","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2502.18321","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Shuyi Chen","orcid":"https://orcid.org/0009-0005-5869-7183"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuyi Chen","raw_affiliation_strings":["Heinz College of Information Systems and Public Policy, Carnegie Mellon University, Pittsburgh, USA"],"raw_orcid":"https://orcid.org/0009-0005-5869-7183","affiliations":[{"raw_affiliation_string":"Heinz College of Information Systems and Public Policy, Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052534316","display_name":"Ferdinando Fioretto","orcid":"https://orcid.org/0000-0002-1381-6776"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ferdinando Fioretto","raw_affiliation_strings":["School of Engineering and Applied Science, University of Virginia, Charlottesville, USA"],"raw_orcid":"https://orcid.org/0000-0002-1381-6776","affiliations":[{"raw_affiliation_string":"School of Engineering and Applied Science, University of Virginia, Charlottesville, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Feng Qiu","orcid":"https://orcid.org/0000-0003-2819-2764"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feng Qiu","raw_affiliation_strings":["Argonne National Laboratory, Lemont, USA"],"raw_orcid":"https://orcid.org/0000-0003-2819-2764","affiliations":[{"raw_affiliation_string":"Argonne National Laboratory, Lemont, USA","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074367596","display_name":"Shixiang Zhu","orcid":"https://orcid.org/0000-0002-2241-6096"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shixiang Zhu","raw_affiliation_strings":["Heinz College of Information Systems and Public Policy, Carnegie Mellon University, Pittsburgh, USA"],"raw_orcid":"https://orcid.org/0000-0002-2241-6096","affiliations":[{"raw_affiliation_string":"Heinz College of Information Systems and Public Policy, Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32838911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":"3","first_page":"2506","last_page":"2516"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10454","display_name":"Optimal Power Flow Distribution","score":0.5209000110626221,"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/T10454","display_name":"Optimal Power Flow Distribution","score":0.5209000110626221,"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/T10305","display_name":"Power System Optimization and Stability","score":0.2881999909877777,"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":0.02850000001490116,"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/grid","display_name":"Grid","score":0.5580999851226807},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.5289999842643738},{"id":"https://openalex.org/keywords/power-grid","display_name":"Power grid","score":0.43959999084472656},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4302999973297119},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.428600013256073},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.4156999886035919},{"id":"https://openalex.org/keywords/ode","display_name":"Ode","score":0.4043999910354614},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.38449999690055847}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6726999878883362},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5580999851226807},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.5289999842643738},{"id":"https://openalex.org/C2983254600","wikidata":"https://www.wikidata.org/wiki/Q1096907","display_name":"Power grid","level":3,"score":0.43959999084472656},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4302999973297119},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.428600013256073},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.4156999886035919},{"id":"https://openalex.org/C34862557","wikidata":"https://www.wikidata.org/wiki/Q178985","display_name":"Ode","level":2,"score":0.4043999910354614},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.38449999690055847},{"id":"https://openalex.org/C49261128","wikidata":"https://www.wikidata.org/wiki/Q1132455","display_name":"Hazard","level":2,"score":0.3840000033378601},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.3634999990463257},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.35510000586509705},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3416999876499176},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C2776544517","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Unexpected events","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2718000113964081},{"id":"https://openalex.org/C137176749","wikidata":"https://www.wikidata.org/wiki/Q4105337","display_name":"Psychological resilience","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.2599000036716461},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2535000145435333},{"id":"https://openalex.org/C77405623","wikidata":"https://www.wikidata.org/wiki/Q598451","display_name":"System dynamics","level":2,"score":0.25110000371932983},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tsg.2025.3642407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2025.3642407","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Smart Grid","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2502.18321","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2502.18321","pdf_url":"https://arxiv.org/pdf/2502.18321","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:arXiv.org:2502.18321","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2502.18321","pdf_url":"https://arxiv.org/pdf/2502.18321","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2502.18321","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2502.18321","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2502.18321","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2502.18321","pdf_url":"https://arxiv.org/pdf/2502.18321","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Extreme":[0],"hazard":[1],"events":[2],"such":[3],"as":[4],"wildfires":[5],"and":[6,15,29,44,79,116,132,140,146],"hurricanes":[7],"increasingly":[8],"threaten":[9],"power":[10],"systems,":[11],"causing":[12],"widespread":[13],"outages":[14],"disrupting":[16],"critical":[17],"services.":[18],"To":[19],"mitigate":[20],"these":[21],"risks,":[22],"grid":[23],"operators":[24],"must":[25],"act":[26],"proactively\u2014pre-positioning":[27],"crews":[28],"resources":[30],"or":[31,83],"scheduling":[32],"hardening":[33],"activities\u2014guided":[34],"by":[35,155],"forecasts":[36],"that":[37,95,150],"directly":[38],"support":[39],"operational":[40,141],"objectives.":[41],"Traditionally,":[42],"utilities":[43],"agencies":[45],"have":[46],"followed":[47],"a":[48,93,122],"predict-then-optimize":[49],"paradigm:":[50],"first":[51],"generating":[52],"impact":[53],"forecasts,":[54],"then":[55],"using":[56],"them":[57],"to":[58,157,160],"inform":[59],"response":[60],"planning.":[61,167],"However,":[62],"this":[63,88],"two-step":[64],"approach":[65,129],"inherently":[66],"separates":[67],"forecasting":[68],"from":[69],"decision-making,":[70],"overlooking":[71],"how":[72],"forecast":[73],"errors":[74],"propagate":[75],"into":[76],"downstream":[77],"actions":[78],"often":[80],"producing":[81],"misaligned":[82],"suboptimal":[84],"plans.":[85],"We":[86],"address":[87],"gap":[89],"with":[90,99],"predict-all-then-optimize-globally":[91],"(PATOG),":[92],"framework":[94],"unifies":[96],"outage":[97,114],"prediction":[98],"globally":[100],"optimized":[101],"interventions.":[102],"At":[103],"its":[104],"core,":[105],"our":[106,128],"global-decision-focused":[107],"(GDF)":[108],"Neural":[109],"ODE":[110],"model":[111],"jointly":[112],"captures":[113],"dynamics":[115],"optimizes":[117],"pre-event":[118],"resilience":[119],"strategies":[120],"in":[121],"decision-aware":[123],"manner.":[124],"Unlike":[125],"conventional":[126],"methods,":[127],"ensures":[130],"spatially":[131],"temporally":[133],"coherent":[134],"decisions,":[135],"enhancing":[136],"both":[137],"predictive":[138],"accuracy":[139],"efficiency.":[142],"Evaluations":[143],"on":[144],"synthetic":[145],"real-world":[147],"data":[148],"show":[149],"GDF":[151],"reduces":[152],"decision":[153],"regret":[154],"up":[156],"75%":[158],"compared":[159],"two-stage":[161],"baselines,":[162],"enabling":[163],"more":[164],"effective":[165],"proactive":[166]},"counts_by_year":[],"updated_date":"2026-04-23T06:14:38.165362","created_date":"2025-10-10T00:00:00"}
