EDF vehicle charging under deadline uncertainty

Ferragut, Andres - Narbondo, Lucas - Paganini, Fernando

Resumen:

In this paper, we analyze the performance of the EDF scheduling policy for charging electrical vehicles when the exact deadlines are not known by the scheduler. Instead, they are declared by users. We quantify the effect of this uncertainty in a mean field regime, and show that incentives appear for users to under-report their sojourn time. We characterize the average gain for a given uncertainty model and devise a policy to curtail strategic users.


Detalles Bibliográficos
2021
Agencia Nacional de Investigación e Innovación
Vehiculos Electricos.
Ingeniería y Tecnología
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
Inglés
Agencia Nacional de Investigación e Innovación
REDI
https://hdl.handle.net/20.500.12381/467
Acceso abierto
Reconocimiento 4.0 Internacional. (CC BY)
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author Ferragut, Andres
author2 Narbondo, Lucas
Paganini, Fernando
author2_role author
author
author_facet Ferragut, Andres
Narbondo, Lucas
Paganini, Fernando
author_role author
bitstream.checksum.fl_str_mv 2d97768b1a25a7df5a347bb58fd2d77f
7bedb8e82b3d23dfb133de22c5067a8c
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
bitstream.url.fl_str_mv https://redi.anii.org.uy/jspui/bitstream/20.500.12381/467/3/license.txt
https://redi.anii.org.uy/jspui/bitstream/20.500.12381/467/2/ev_uncertain_mama21_ferragut.pdf
collection REDI
dc.creator.none.fl_str_mv Ferragut, Andres
Narbondo, Lucas
Paganini, Fernando
dc.date.accessioned.none.fl_str_mv 2021-10-15T13:42:57Z
dc.date.available.none.fl_str_mv 2021-10-15T13:42:57Z
dc.date.issued.none.fl_str_mv 2021-06-14
dc.description.abstract.none.fl_txt_mv In this paper, we analyze the performance of the EDF scheduling policy for charging electrical vehicles when the exact deadlines are not known by the scheduler. Instead, they are declared by users. We quantify the effect of this uncertainty in a mean field regime, and show that incentives appear for users to under-report their sojourn time. We characterize the average gain for a given uncertainty model and devise a policy to curtail strategic users.
dc.description.sponsorship.none.fl_txt_mv Agencia Nacional de Investigación e Innovación
dc.identifier.anii.es.fl_str_mv FSE_1_2018_1_153050
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12381/467
dc.language.iso.none.fl_str_mv eng
dc.publisher.es.fl_str_mv ACM
dc.rights.es.fl_str_mv Acceso abierto
dc.rights.license.none.fl_str_mv Reconocimiento 4.0 Internacional. (CC BY)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.es.fl_str_mv ACM Performance Evaluation Review
dc.source.none.fl_str_mv reponame:REDI
instname:Agencia Nacional de Investigación e Innovación
instacron:Agencia Nacional de Investigación e Innovación
dc.subject.anii.none.fl_str_mv Ingeniería y Tecnología
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
dc.subject.es.fl_str_mv Vehiculos Electricos.
dc.title.none.fl_str_mv EDF vehicle charging under deadline uncertainty
dc.type.es.fl_str_mv Artículo
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.version.es.fl_str_mv Publicado
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description In this paper, we analyze the performance of the EDF scheduling policy for charging electrical vehicles when the exact deadlines are not known by the scheduler. Instead, they are declared by users. We quantify the effect of this uncertainty in a mean field regime, and show that incentives appear for users to under-report their sojourn time. We characterize the average gain for a given uncertainty model and devise a policy to curtail strategic users.
eu_rights_str_mv openAccess
format article
id REDI_a852452e12aa1195f96ea77df19da2e7
identifier_str_mv FSE_1_2018_1_153050
instacron_str Agencia Nacional de Investigación e Innovación
institution Agencia Nacional de Investigación e Innovación
instname_str Agencia Nacional de Investigación e Innovación
language eng
network_acronym_str REDI
network_name_str REDI
oai_identifier_str oai:redi.anii.org.uy:20.500.12381/467
publishDate 2021
reponame_str REDI
repository.mail.fl_str_mv jmaldini@anii.org.uy
repository.name.fl_str_mv REDI - Agencia Nacional de Investigación e Innovación
repository_id_str 9421
rights_invalid_str_mv Reconocimiento 4.0 Internacional. (CC BY)
Acceso abierto
spelling Reconocimiento 4.0 Internacional. (CC BY)Acceso abiertoinfo:eu-repo/semantics/openAccess2021-10-15T13:42:57Z2021-10-15T13:42:57Z2021-06-14https://hdl.handle.net/20.500.12381/467FSE_1_2018_1_153050In this paper, we analyze the performance of the EDF scheduling policy for charging electrical vehicles when the exact deadlines are not known by the scheduler. Instead, they are declared by users. We quantify the effect of this uncertainty in a mean field regime, and show that incentives appear for users to under-report their sojourn time. We characterize the average gain for a given uncertainty model and devise a policy to curtail strategic users.Agencia Nacional de Investigación e InnovaciónengACMACM Performance Evaluation Reviewreponame:REDIinstname:Agencia Nacional de Investigación e Innovacióninstacron:Agencia Nacional de Investigación e InnovaciónVehiculos Electricos.Ingeniería y TecnologíaIngeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la InformaciónEDF vehicle charging under deadline uncertaintyArtículoPublicadoinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleUniversidad ORT Uruguay//Ingeniería y Tecnología/Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información/Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la InformaciónFerragut, AndresNarbondo, LucasPaganini, FernandoLICENSElicense.txtlicense.txttext/plain; charset=utf-84746https://redi.anii.org.uy/jspui/bitstream/20.500.12381/467/3/license.txt2d97768b1a25a7df5a347bb58fd2d77fMD53ORIGINALev_uncertain_mama21_ferragut.pdfev_uncertain_mama21_ferragut.pdfapplication/pdf768223https://redi.anii.org.uy/jspui/bitstream/20.500.12381/467/2/ev_uncertain_mama21_ferragut.pdf7bedb8e82b3d23dfb133de22c5067a8cMD5220.500.12381/4672021-10-15 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- Agencia Nacional de Investigación e Innovaciónfalse
spellingShingle EDF vehicle charging under deadline uncertainty
Ferragut, Andres
Vehiculos Electricos.
Ingeniería y Tecnología
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
status_str publishedVersion
title EDF vehicle charging under deadline uncertainty
title_full EDF vehicle charging under deadline uncertainty
title_fullStr EDF vehicle charging under deadline uncertainty
title_full_unstemmed EDF vehicle charging under deadline uncertainty
title_short EDF vehicle charging under deadline uncertainty
title_sort EDF vehicle charging under deadline uncertainty
topic Vehiculos Electricos.
Ingeniería y Tecnología
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
url https://hdl.handle.net/20.500.12381/467