{"id":"https://openalex.org/W3038068067","doi":"https://doi.org/10.34890/797","title":"Using Big Data analytics to improve flood resilience of the distribution grid","display_name":"Using Big Data analytics to improve flood resilience of the distribution grid","publication_year":2019,"publication_date":"2019-06-03","ids":{"openalex":"https://openalex.org/W3038068067","doi":"https://doi.org/10.34890/797","mag":"3038068067"},"language":"en","primary_location":{"id":"doi:10.34890/797","doi":"https://doi.org/10.34890/797","is_oa":true,"landing_page_url":"https://doi.org/10.34890/797","pdf_url":null,"source":{"id":"https://openalex.org/S7407051079","display_name":"CIRED","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210103046","host_organization_name":"CIRED","host_organization_lineage":["https://openalex.org/I4210103046"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.34890/797","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090067337","display_name":"S\u00e9bastien Folleville","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Folleville, S\u00e9bastien","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010902892","display_name":"J\u00e9r\u00e9mie M\u00e9rigeault","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M\u00e9rigeault, J\u00e9r\u00e9mie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016148633","display_name":"Odilon Faivre","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Faivre, Odilon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065131166","display_name":"A. Tholon","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tholon, Alain","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001225619","display_name":"Didier Broussard","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Broussard, Didier","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5009148954","display_name":"Olivier Aubujeault","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aubujeault, Olivier","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0903,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.36949792,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12451","display_name":"Smart Grid and Power Systems","score":0.5332000255584717,"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/T12451","display_name":"Smart Grid and Power Systems","score":0.5332000255584717,"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.24240000545978546,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11807","display_name":"Infrastructure Resilience and Vulnerability Analysis","score":0.12720000743865967,"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/flood-resilience","display_name":"flood resilience","score":0.9879999756813049},{"id":"https://openalex.org/keywords/distribution-networks","display_name":"distribution networks","score":0.9509999752044678},{"id":"https://openalex.org/keywords/big-data-analytics","display_name":"big data analytics","score":0.7910000085830688},{"id":"https://openalex.org/keywords/network-investment-planning","display_name":"network investment planning","score":0.7540000081062317},{"id":"https://openalex.org/keywords/flood-scenarios","display_name":"flood scenarios","score":0.7870000004768372},{"id":"https://openalex.org/keywords/enedis","display_name":"Enedis","score":0.6110000014305115},{"id":"https://openalex.org/keywords/paris-metropolitan-area","display_name":"Paris metropolitan area","score":0.7850000262260437}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6823098063468933},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.5932438969612122},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.5554590225219727},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5443158149719238},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.4952363073825836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.483109712600708},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.44854140281677246},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.42726603150367737},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.33763059973716736},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2817710041999817},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18226784467697144},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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":2,"locations":[{"id":"doi:10.34890/797","doi":"https://doi.org/10.34890/797","is_oa":true,"landing_page_url":"https://doi.org/10.34890/797","pdf_url":null,"source":{"id":"https://openalex.org/S7407051079","display_name":"CIRED","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210103046","host_organization_name":"CIRED","host_organization_lineage":["https://openalex.org/I4210103046"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"mag:3038068067","doi":null,"is_oa":false,"landing_page_url":"https://www.cired-repository.org/handle/20.500.12455/570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.34890/797","doi":"https://doi.org/10.34890/797","is_oa":true,"landing_page_url":"https://doi.org/10.34890/797","pdf_url":null,"source":{"id":"https://openalex.org/S7407051079","display_name":"CIRED","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210103046","host_organization_name":"CIRED","host_organization_lineage":["https://openalex.org/I4210103046"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":1.0},{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.5351999998092651},{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5142999887466431}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2916302807","https://openalex.org/W6992551271","https://openalex.org/W3194202661","https://openalex.org/W3008964768","https://openalex.org/W3080501295","https://openalex.org/W7166505905","https://openalex.org/W4226095905","https://openalex.org/W2551140730","https://openalex.org/W2025316293","https://openalex.org/W4318154067"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,35,42,53,78,125,131,136],"limit":[3],"impacts":[4],"of":[5,67,149],"flood":[6,14,94],"on":[7,19,24],"electrical":[8,30],"networks,":[9],"Enedis":[10,75,146],"has":[11,106],"developed":[12,108],"a":[13],"impact":[15],"visualization":[16],"tool":[17,28,105,124],"based":[18],"cartographic":[20],"software":[21],"and":[22,33,80,135],"leveraging":[23],"Big":[25,132],"Data":[26,133],"technologies.This":[27],"highlights":[29],"weakness":[31],"points":[32],"is":[34],"be":[36,128],"used":[37],"by":[38,48,58,145],"network":[39,56,143],"investment":[40],"planners":[41],"improve":[43],"the":[44,50,55,83,141],"grid,":[45],"for":[46,109],"example":[47],"selecting":[49],"best":[51],"way":[52],"reorganize":[54],"or":[57],"upgrading":[59],"substations":[60,64],"at":[61],"risk":[62],"(increasing":[63],"elevation,":[65],"installation":[66],"water":[68],"resistant":[69],"materials...).With":[70],"dedicated":[71],"computing":[72],"intensive":[73],"algorithms,":[74],"was":[76],"able":[77],"automate":[79],"rationalize":[81],"all":[82],"data":[84,89,138],"processing":[85],"steps":[86],"using":[87],"internal":[88],"as":[90,92],"well":[91],"government":[93],"scenarios":[95],"with":[96],"two":[97],"main":[98],"benefits:faster":[99],"computation":[100],"time,":[101],"homogenize":[102],"computational":[103],"assumptions.This":[104],"been":[107],"Paris":[110],"metropolitan":[111],"area":[112],"(\u201cIle":[113],"de":[114],"France\u201d),":[115],"which":[116],"represents":[117],"6":[118],"million":[119],"customers.":[120],"Scaling":[121],"up":[122],"this":[123],"France":[126,150],"will":[127],"accelerated":[129],"thanks":[130],"technology":[134],"homogeneous":[137],"sets":[139],"across":[140],"whole":[142],"managed":[144],"(95":[147],"%":[148],"distribution":[151],"network).":[152]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2020-07-02T00:00:00"}