Vis enkel innførsel

Data quality issues in solar panels installations: a case study

dc.contributor.authorRoman, Dumitru
dc.contributor.authorPultier, Antoine
dc.contributor.authorMa, Xiang
dc.contributor.authorSoylu, Ahmet
dc.contributor.authorUlyashin, Alexander
dc.date.accessioned2023-02-09T13:08:03Z
dc.date.available2023-02-09T13:08:03Z
dc.date.created2022-11-24T15:18:16Z
dc.date.issued2022-11-09
dc.identifier.isbn978-1-4503-9459-8
dc.identifier.urihttps://hdl.handle.net/11250/3049749
dc.description.abstractSolar photovoltaics (PV) is becoming an important source of global electricity generation. Modern PV installations come with a variety of sensors attached to them for monitoring purposes (e.g., maintenance, prediction of electricity generation, etc.). Data collection (and implicitly the quality of data) from PV systems is becoming essential in this context. In this position paper, we introduce a modern PV mini power plant demo site setup for research purposes and discuss the data quality issues we encountered in operating the power plant.en_US
dc.language.isoengen_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.ispartofProceedings of the 2nd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things (SEA4DQ 2022)
dc.relation.ispartofseriesSEA4DQ: Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things;SEA4DQ '22: 2nd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectSolar panelsen_US
dc.subjectMonitoringen_US
dc.subjectData qualityen_US
dc.subjectData pipelinesen_US
dc.titleData quality issues in solar panels installations: a case studyen_US
dc.typeConference objecten_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2022 Copyright held by the owner/author(s)en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doihttps://doi.org/10.1145/3549037.3564120
dc.identifier.cristin2080338
dc.source.volume2en_US
dc.source.issue2en_US
dc.source.pagenumber24-25en_US
dc.relation.projectEC/H2020/792245en_US
dc.relation.projectNorges forskningsråd: 309691en_US
dc.relation.projectEC/H2020/101016835en_US


Tilhørende fil(er)

Thumbnail
Filnavn:
Roman_2022_Data_quality_VOR.pdf
Størrelse:
539.8Kb
Format:
PDF
Åpne

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel

Navngivelse 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Navngivelse 4.0 Internasjonal