<div class="csl-bib-body">
<div class="csl-entry">Lackinger, A. (2025, June 17). <i>Time Series Prediction</i> [Presentation]. 3rd AIoTwin Summer School 2025, Split, Croatia.</div>
</div>
This tutorial provides a step-by-step guide to time series forecasting. The first part is aimed at beginners, demystifies the core components of time series data, such as trend, seasonality, and noise, and guides through the essential steps of preparing data for predictive modeling.
The second part analyses the most common forecasting techniques, from classical statistical methods to modern machine learning to deep learning approaches. Each method is illustrated with examples to help understand how and when they can be used effectively.
en
dc.description.sponsorship
European Commission
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dc.language.iso
en
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dc.subject
Time Series Prediction
en
dc.subject
Deep Learning
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dc.subject
Machine Learning
en
dc.subject
Feature Engineering
en
dc.title
Time Series Prediction
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dc.type
Presentation
en
dc.type
Vortrag
de
dc.relation.grantno
101079214
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dc.type.category
Presentation
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tuw.publication.invited
invited
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tuw.project.title
Twinning action for spreading excellence in Artificial Intelligence of Things
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tuw.researchTopic.id
I4
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tuw.researchTopic.name
Information Systems Engineering
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E194-02 - Forschungsbereich Distributed Systems
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tuw.author.orcid
0009-0006-2908-0528
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tuw.event.name
3rd AIoTwin Summer School 2025
en
tuw.event.startdate
16-06-2025
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tuw.event.enddate
18-06-2025
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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
Split
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tuw.event.country
HR
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tuw.event.presenter
Lackinger, Anna
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wb.sciencebranch
Informatik
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.value
100
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item.openairecristype
http://purl.org/coar/resource_type/R60J-J5BD
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item.fulltext
no Fulltext
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item.cerifentitytype
Publications
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item.languageiso639-1
en
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item.openairetype
conference presentation
-
item.grantfulltext
none
-
crisitem.author.dept
E194-02 - Forschungsbereich Distributed Systems
-
crisitem.author.orcid
0009-0006-2908-0528
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crisitem.author.parentorg
E194 - Institut für Information Systems Engineering