DC Field
Value
Language
dc.contributor.author
Geiss, Timon
-
dc.contributor.author
Wilker, Stefan
-
dc.contributor.author
Bauer, Paul
-
dc.date.accessioned
2026-08-04T11:36:54Z
-
dc.date.available
2025-12-29T08:52:36Z
-
dc.date.available
2026-08-04T11:36:54Z
-
dc.date.issued
2025-09-30
-
dc.identifier.citation
<div class="csl-bib-body"> <div class="csl-entry">Geiss, T., Wilker, S., &#38; Bauer, P. (2025, September 30). <i>Probabilistic PV Dataset Generator</i> [Poster Presentation]. Technologieplattform Smart Grids Austria (TP SGA) : Herbsttreffen 2025, Wien, Austria. https://doi.org/10.34726/12467</div> </div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/223244
-
dc.identifier.uri
https://doi.org/10.34726/12467
-
dc.description.abstract
Energy management systems currently focus primarily on optimizing a best guess scenario based on a feed-in forecast. Renewable energy feed-in forecasts are subject to uncertainty, resulting in deviations from the best guess, flawed operating plans and higher opportunity costs. Some uncertainties can be modeled using probabilistic forecasts. [1] Main Goals: • Develop a reproducible workflow for generating probabilistic PV Data • Automatically create realistic test datasets that include probabilistic PV feed-in forecasts for use in downstream optimization and analysis
en
dc.description.sponsorship
FFG - Österr. Forschungsförderungs- gesellschaft mbH
-
dc.language.iso
en
-
dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
-
dc.subject
Probabilistic
en
dc.subject
PV
en
dc.subject
data set generation
en
dc.title
Probabilistic PV Dataset Generator
en
dc.type
Presentation
en
dc.type
Vortrag
de
dc.rights.license
Urheberrechtsschutz
de
dc.rights.license
In Copyright
en
dc.identifier.doi
10.34726/12467
-
dc.contributor.affiliation
TU Wien, Austria
-
dc.relation.grantno
922001
-
dc.type.category
Poster Presentation
-
tuw.project.title
ErneuerbaresWald4tel Leitprojekt - 100% Erneuerbare-Energie-Reallabore
-
tuw.researchTopic.id
E1
-
tuw.researchTopic.id
I2
-
tuw.researchTopic.id
E3
-
tuw.researchTopic.name
Energy Active Buildings, Settlements and Spatial Infrastructures
-
tuw.researchTopic.name
Computer Engineering and Software-Intensive Systems
-
tuw.researchTopic.name
Climate Neutral, Renewable and Conventional Energy Supply Systems
-
tuw.researchTopic.value
50
-
tuw.researchTopic.value
25
-
tuw.researchTopic.value
25
-
tuw.publication.orgunit
E384-01 - Forschungsbereich Software-intensive Systems
-
tuw.author.orcid
0000-0002-9873-0751
-
tuw.author.orcid
0009-0000-4887-1137
-
dc.rights.identifier
Urheberrechtsschutz
de
dc.rights.identifier
In Copyright
en
tuw.event.name
Technologieplattform Smart Grids Austria (TP SGA) : Herbsttreffen 2025
de
tuw.event.startdate
30-09-2025
-
tuw.event.enddate
30-09-2025
-
tuw.event.online
On Site
-
tuw.event.type
Event for scientific audience
-
tuw.event.place
Wien
-
tuw.event.country
AT
-
tuw.event.institution
Technologieplattform Smart Grids Austria
-
tuw.event.presenter
Geiss, Timon
-
tuw.event.track
Single Track
-
wb.sciencebranch
Elektrotechnik, Elektronik, Informationstechnik
-
wb.sciencebranch.oefos
2020
-
wb.sciencebranch.value
100
-
item.fulltext
with Fulltext
-
item.languageiso639-1
en
-
item.openairecristype
http://purl.org/coar/resource_type/c_18co
-
item.cerifentitytype
Publications
-
item.grantfulltext
open
-
item.openaccessfulltext
Open Access
-
item.mimetype
application/pdf
-
item.openairetype
conference poster not in proceedings
-
crisitem.author.dept
TU Wien, Austria
-
crisitem.author.dept
E384-01 - Forschungsbereich Software-intensive Systems
-
crisitem.author.dept
E384-01 - Forschungsbereich Software-intensive Systems
-
crisitem.author.orcid
0000-0002-9873-0751
-
crisitem.author.orcid
0009-0000-4887-1137
-
crisitem.author.parentorg
E384 - Institut für Computertechnik
-
crisitem.author.parentorg
E384 - Institut für Computertechnik
-
crisitem.project.funder
FFG - Österr. Forschungsförderungs- gesellschaft mbH
-
crisitem.project.grantno
922001
-
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Version History
Version Item submitted by Date Summary
2 20.500.12708/223244 Achleitner, Michaela 2026-08-04 13:35:20.622 Generation of DOI
1 20.500.12708/223244.1 Wilker, Stefan 2025-12-29 09:52:36.0
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