{"id":"https://openalex.org/W4391342745","doi":"https://doi.org/10.1109/isgteurope56780.2023.10407604","title":"Weather Event Preparedness Modelling for Distribution Systems","display_name":"Weather Event Preparedness Modelling for Distribution Systems","publication_year":2023,"publication_date":"2023-10-23","ids":{"openalex":"https://openalex.org/W4391342745","doi":"https://doi.org/10.1109/isgteurope56780.2023.10407604"},"language":"en","primary_location":{"id":"doi:10.1109/isgteurope56780.2023.10407604","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isgteurope56780.2023.10407604","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE)","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/A5092933365","display_name":"Xavier Weiss","orcid":"https://orcid.org/0000-0002-6745-4918"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Xavier Weiss","raw_affiliation_strings":["Power Systems KTH,Stockholm,Sweden","Power Systems KTH, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Power Systems KTH,Stockholm,Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"Power Systems KTH, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049280139","display_name":"Lars Nordstr\u00f6m","orcid":"https://orcid.org/0000-0003-3014-5609"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Lars Nordstr\u00f6m","raw_affiliation_strings":["Power Systems KTH,Stockholm,Sweden","Power Systems KTH, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Power Systems KTH,Stockholm,Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"Power Systems KTH, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082055932","display_name":"Patrik Hilber","orcid":"https://orcid.org/0000-0002-2964-7233"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Patrik Hilber","raw_affiliation_strings":["Electromagnetic Engineering KTH,Stockholm,Sweden","Electromagnetic Engineering KTH, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electromagnetic Engineering KTH,Stockholm,Sweden","institution_ids":[]},{"raw_affiliation_string":"Electromagnetic Engineering KTH, Stockholm, Sweden","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026870061","display_name":"Arvid Rolander","orcid":"https://orcid.org/0000-0002-5380-5289"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Arvid Rolander","raw_affiliation_strings":["Power Systems KTH,Stockholm,Sweden","Power Systems KTH, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Power Systems KTH,Stockholm,Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"Power Systems KTH, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1227,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47794219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14276","display_name":"Power Systems and Technologies","score":0.9661999940872192,"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/T14276","display_name":"Power Systems and Technologies","score":0.9661999940872192,"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/T14042","display_name":"Technology and Security Systems","score":0.9448999762535095,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9383000135421753,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/preparedness","display_name":"Preparedness","score":0.5874051451683044},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5776933431625366},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5658170580863953},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.42558610439300537},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07390493154525757},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07238191366195679}],"concepts":[{"id":"https://openalex.org/C2777042776","wikidata":"https://www.wikidata.org/wiki/Q4583103","display_name":"Preparedness","level":2,"score":0.5874051451683044},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5776933431625366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5658170580863953},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.42558610439300537},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07390493154525757},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07238191366195679},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isgteurope56780.2023.10407604","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isgteurope56780.2023.10407604","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W775021449","https://openalex.org/W2179778999","https://openalex.org/W2503431744","https://openalex.org/W2563554623","https://openalex.org/W2602240020","https://openalex.org/W2902144127","https://openalex.org/W2904871600","https://openalex.org/W2918683335","https://openalex.org/W2926989489","https://openalex.org/W3003792994","https://openalex.org/W3034404898"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2407817972","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W191093913","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Distribution":[0,70],"level":[1,11,29],"outages":[2,107,110],"generally":[3],"affect":[4],"fewer":[5],"customers":[6],"than":[7,108],"regional":[8],"or":[9],"transmission":[10],"outages.":[12],"However,":[13],"as":[14,85,111,113],"global":[15],"temperatures":[16],"continue":[17],"to":[18,34,54],"rise,":[19],"the":[20,56,62,66,69],"radial":[21],"topology":[22],"and":[23,65],"overhead":[24],"lines":[25],"typical":[26],"at":[27],"this":[28],"make":[30],"it":[31],"particularly":[32],"vulnerable":[33],"High":[35],"Impact":[36],"Low":[37],"Probability":[38],"weather":[39,63],"events.":[40,98,123],"A":[41],"Machine":[42],"Learning":[43],"model":[44,75],"is":[45,76,89,118],"therefore":[46],"proposed":[47],"that":[48,117],"uses":[49],"Multinomial":[50],"Logistic":[51],"Regression":[52],"(MLR)":[53],"predict":[55],"likelihood":[57],"of":[58,68],"an":[59],"outage":[60,97,122],"given":[61],"conditions":[64],"composition":[67],"System":[71],"Operator":[72],"(DSO).":[73],"The":[74],"tuned":[77],"by":[78],"using":[79],"a":[80,101,114],"traditional":[81],"binary":[82],"classification":[83,103],"problem":[84],"ground":[86],"truth,":[87],"but":[88],"evaluated":[90],"based":[91],"on":[92],"its":[93],"probability":[94,115],"distributions":[95],"near":[96],"Results":[99],"show":[100],"greater":[102],"confidence":[104],"for":[105],"true":[106],"false":[109],"well":[112],"distribution":[116],"skewed":[119],"towards":[120],"actual":[121]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}