<div class="csl-bib-body">
<div class="csl-entry">Houben, N., Visser, L., van Sark, W., Auer, H., Ajanovic, A., & Haas, R. (2022, September 21). <i>Strategies for Wide-Scale Short-Term PV Forecasting in Energy Communities</i> [Poster Presentation]. 17th IAEE European Energy Conference, Athen, Greece. http://hdl.handle.net/20.500.12708/193164</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/193164
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dc.description.abstract
The research explores strategies for short-term forecasting of photovoltaic (PV) power in energy communities, focusing on the aggregator's perspective. It investigates the economic value of various data types in forecasting accuracy, using both physical and machine learning methods. The study employs models like PVWatts for physical forecasting and advanced machine learning models for data-driven approaches. A case study of a Dutch energy community with rooftop PV systems is analyzed, highlighting the economic benefits of detailed data for forecasting. The research concludes with implications for aggregators' data collection and modeling strategies, considering regional privacy laws and the effectiveness of data-driven approaches. Future work aims to develop machine learning algorithms that utilize live meter data for enhanced forecasting accuracy.
en
dc.language.iso
en
-
dc.subject
PV Forecasting
en
dc.subject
Energy Communities
en
dc.subject
Machine Learning
en
dc.title
Strategies for Wide-Scale Short-Term PV Forecasting in Energy Communities
en
dc.type
Presentation
en
dc.type
Vortrag
de
dc.contributor.affiliation
Utrecht University, Netherlands (the)
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dc.contributor.affiliation
Utrecht University, Netherlands (the)
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dc.type.category
Poster Presentation
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tuw.researchTopic.id
E6
-
tuw.researchTopic.id
C6
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tuw.researchTopic.name
Sustainable Production and Technologies
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tuw.researchTopic.name
Modeling and Simulation
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tuw.researchTopic.value
50
-
tuw.researchTopic.value
50
-
tuw.publication.orgunit
E370-03 - Forschungsbereich Energiewirtschaft und Energieeffizienz
-
tuw.author.orcid
0000-0001-7355-9815
-
tuw.author.orcid
0000-0002-9111-9941
-
tuw.author.orcid
0000-0003-0851-3057
-
tuw.author.orcid
0000-0002-9111-9941
-
tuw.author.orcid
0000-0001-6840-806X
-
tuw.author.orcid
0000-0001-9361-3452
-
tuw.event.name
17th IAEE European Energy Conference
en
tuw.event.startdate
21-09-2022
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tuw.event.enddate
23-09-2022
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Athen
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tuw.event.country
GR
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tuw.event.presenter
Houben, Nikolaus
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wb.sciencebranch
Informatik
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wb.sciencebranch
Elektrotechnik, Elektronik, Informationstechnik
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.oefos
2020
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wb.sciencebranch.value
50
-
wb.sciencebranch.value
50
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item.openairecristype
http://purl.org/coar/resource_type/c_18co
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item.openairetype
conference poster not in proceedings
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item.fulltext
no Fulltext
-
item.languageiso639-1
en
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item.grantfulltext
none
-
item.cerifentitytype
Publications
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crisitem.author.dept
E370-03 - Forschungsbereich Energiewirtschaft und Energieeffizienz
-
crisitem.author.dept
Utrecht University
-
crisitem.author.dept
Utrecht University
-
crisitem.author.dept
E370-03 - Forschungsbereich Energiewirtschaft und Energieeffizienz
-
crisitem.author.dept
E370-03 - Forschungsbereich Energiewirtschaft und Energieeffizienz
-
crisitem.author.dept
E370-03 - Forschungsbereich Energiewirtschaft und Energieeffizienz
-
crisitem.author.orcid
0000-0001-7355-9815
-
crisitem.author.orcid
0000-0002-9111-9941
-
crisitem.author.orcid
0000-0001-6840-806X
-
crisitem.author.orcid
0000-0001-9361-3452
-
crisitem.author.parentorg
E370 - Institut für Energiesysteme und Elektrische Antriebe
-
crisitem.author.parentorg
E370 - Institut für Energiesysteme und Elektrische Antriebe
-
crisitem.author.parentorg
E370 - Institut für Energiesysteme und Elektrische Antriebe
-
crisitem.author.parentorg
E370 - Institut für Energiesysteme und Elektrische Antriebe
