{"id":"https://openalex.org/W2804137108","doi":"https://doi.org/10.1145/3208903.3208927","title":"A Crowdsourcing Approach for the Inference of Distribution Grids","display_name":"A Crowdsourcing Approach for the Inference of Distribution Grids","publication_year":2018,"publication_date":"2018-05-25","ids":{"openalex":"https://openalex.org/W2804137108","doi":"https://doi.org/10.1145/3208903.3208927","mag":"2804137108"},"language":"en","primary_location":{"id":"doi:10.1145/3208903.3208927","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3208903.3208927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Ninth International Conference on Future Energy Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5039918873","display_name":"Pezhman Nasirifard","orcid":"https://orcid.org/0000-0003-3795-3078"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Pezhman Nasirifard","raw_affiliation_strings":["Technical University of Munich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102719425","display_name":"Jos\u00e9 Rivera","orcid":"https://orcid.org/0000-0002-9581-460X"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jose Rivera","raw_affiliation_strings":["Technical University of Munich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014776723","display_name":"Qunjie Zhou","orcid":"https://orcid.org/0000-0002-2434-2393"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Qunjie Zhou","raw_affiliation_strings":["Technical University of Munich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002958503","display_name":"Klaus Bernd Schreiber","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Klaus Bernd Schreiber","raw_affiliation_strings":["Technical University of Munich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072791865","display_name":"Hans\u2010Arno Jacobsen","orcid":"https://orcid.org/0000-0003-0813-0101"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hans-Arno Jacobsen","raw_affiliation_strings":["Technical University of Munich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"187","last_page":"199"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.8652287125587463},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7054837346076965},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6484950184822083},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.6415256857872009},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.609309196472168},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5413236021995544},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.531184196472168},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3072916567325592},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13322502374649048},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08508884906768799}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.8652287125587463},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7054837346076965},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6484950184822083},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.6415256857872009},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.609309196472168},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5413236021995544},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.531184196472168},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3072916567325592},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13322502374649048},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08508884906768799},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3208903.3208927","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3208903.3208927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Ninth International Conference on Future Energy Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1968545881","https://openalex.org/W1968686485","https://openalex.org/W1972716516","https://openalex.org/W2003159467","https://openalex.org/W2106568252","https://openalex.org/W2138781105","https://openalex.org/W2293638396","https://openalex.org/W2312345383","https://openalex.org/W2344504222","https://openalex.org/W2485563723","https://openalex.org/W2506885748","https://openalex.org/W2530699741","https://openalex.org/W4232705161","https://openalex.org/W4292901648","https://openalex.org/W4301044025"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W4286908577","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W4318823662","https://openalex.org/W2276146857"],"abstract_inverted_index":{"Maintaining":[0],"a":[1,11,21,38,135,142,174,181,212,229],"complete":[2],"and":[3,14,51,67,73,89,120,124,133,140,180],"up-to-date":[4],"model":[5,58,200],"of":[6,17,44,59,77,113,156,176,183,193,216],"the":[7,15,42,56,60,65,74,99,111,114,153,157,167,199,205,220],"distribution":[8,48,61,79,84,115,158,172,236],"grid":[9,49,80,209,237],"is":[10],"challenging":[12],"task,":[13],"scarcity":[16],"open":[18,45,106],"models":[19],"represents":[20],"significant":[22],"bottleneck":[23],"for":[24,41],"researchers":[25],"in":[26,102,145],"this":[27,30],"area.":[28],"In":[29],"work,":[31],"we":[32,93,131,201],"address":[33],"these":[34],"challenges":[35],"by":[36],"introducing":[37],"crowdsourcing":[39,123,136],"framework":[40],"collection":[43],"data":[46,96,101,107],"on":[47,98,204],"devices":[50],"an":[52,71],"algorithm":[53,196],"to":[54,69,109,138,169,178,185,219,232],"infer":[55,110,141,233],"topological":[57],"grids.":[62],"We":[63],"use":[64,94],"crowd":[66,168],"smartphones":[68],"collect":[70],"image":[72],"geographical":[75],"position":[76],"power":[78,83,171,213,235],"devices.":[81],"Since":[82],"lines":[85],"are":[86,150],"usually":[87],"underground":[88],"cannot":[90],"be":[91,188],"mapped,":[92],"spatial":[95],"analytics":[97],"collected":[100],"combination":[103],"with":[104,152],"other":[105],"sources":[108],"topology":[112],"grid.":[116],"This":[117],"paper":[118],"describes":[119],"evaluates":[121],"our":[122,129,194,226],"inference":[125,195],"approach.":[126],"To":[127],"evaluate":[128],"approach,":[130],"organized":[132],"conducted":[134],"campaign":[137],"map":[139],"sizeable":[143],"district":[144],"Munich,":[146],"Germany.":[147],"The":[148,190],"results":[149,224],"compared":[151,218],"ground":[154,221],"truth":[155],"system":[159],"operator.":[160],"Our":[161],"field":[162],"experiments":[163],"show":[164],"that":[165,198],"using":[166],"recognize":[170],"elements,":[173],"precision":[175],"up":[177,184],"82%":[179],"recall":[182],"65%":[186],"can":[187],"obtained.":[189],"numerical":[191],"evaluation":[192],"demonstrates":[197],"inferred":[202],"based":[203],"acquired":[206],"official":[207],"DSO":[208],"dataset":[210],"achieves":[211],"length":[214],"accuracy":[215],"88%":[217],"truth.":[222],"These":[223],"confirm":[225],"approach":[227],"as":[228],"practical":[230],"method":[231],"real":[234],"models.":[238]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}