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07. May 2026

AI in the Power Grid: Paul Bauer Featured on "Folgewirkung" Podcast

Can Artificial Intelligence take over the management of our increasingly complex energy grids and eventually replace traditional algorithms?

The image shows an AI-generated landscape with power poles, data streams next to it and a digital human head in the background. — © https://www.klimafonds.gv.at
Folgen Wirkung Podcast
Folgewirkung: Der Podcast des Klima- und Energiefonds #43

In the latest episode of the podcast "Folgewirkung," Paul Bauer, a researcher in our Energy and IT research group, discusses the potentials and challenges at the intersection of optimization algorithms, AI, and the energy systems of the future.

Listen now:
https://www.klimafonds.gv.at/podcast/folge-43-ki/, opens an external URL in a new window
https://open.spotify.com/episode/29JosKlURiCmGF3wpaI9Ix?si=6oAyqBIhS6CR_4sBmzRogg, opens an external URL in a new window

This podcast episode is supported by the initiative "100% Renewable Energy Real-World Laboratories" (100% Erneuerbare Energie Reallabore). The initiative was launched by the Federal Ministry for Innovation, Mobility, and Infrastructure (BMIMI, formerly BMK) and is co-financed by the Austrian Research Promotion Agency (FFG) and the Climate and Energy Fund.

Name	Purpose	Lifetime	Type	Provider
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SimpleSAML	This is needed to distinguish between the sessions of the logged-in users.	session	HTTP	Login TU Wien
SimpleSAMLAuthToken	This is needed to distinguish between the sessions of the logged-in users.	session	HTTP	Login TU Wien
fe_typo_user	Is needed so that in case of a Typo3 frontend login the session ID is recognized to grant access to protected areas.	session	HTTP	Homepage TU Wien
staticfilecache	Is needed to optimize the delivery time of the website.	session	HTTP	Homepage TU Wien
JESSIONSID	Is needed so that in case of a LectureTube the session ID is recognized to grant access to protected areas.	session	HTTP	LectureTube TU Wien
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Name	Purpose	Lifetime	Type	Provider
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Name	Purpose	Lifetime	Type	Provider
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fr	Is needed to serve ads and measure and improve their relevance.	3 months	HTTP	Meta
act	Is needed to store logged in users (marketing/tracking).	90 days	HTTP	Meta
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datr	Is needed to identify the browser for security and website integrity purposes, including account recovery and identification of potentially compromised accounts.	2 years	HTTP	Meta
dpr	Is used for analysis purposes. Technical parameters are logged (e.g. aspect ratio and dimensions of the screen) so that Facebook apps can be displayed correctly.	1 week	HTTP	Meta
sb	Is needed to store browser details and security information of the Facebook account.	2 years	HTTP	Meta
dbln	Is needed to store browser details and security information of the Facebook account.	2 years	HTTP	Meta
spin	Is needed for promotional purposes and social campaign reporting.	session	HTTP	Meta
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cppo	Is needed for statistical purposes.	90 days	HTTP	Meta
locale	Is needed to save the language settings.	session	HTTP	Meta
pl	Required for Facebook Pixel.	2 years	HTTP	Meta
lu	Required for Facebook Pixel.	2 years	HTTP	Meta
c_user	Required for Facebook Pixel.	3 months	HTTP	Meta
bcookie	Is needed to store browser data (marketing/tracking).	2 years	HTTP	LinkedIn
li_oatml	Is needed to identify LinkedIn members outside of LinkedIn for advertising and analytics purposes.	1 month	HTTP	LinkedIn
BizographicsOptOut	Is needed to save privacy settings.	10 years	HTTP	LinkedIn
li_sugr	Is needed to store browser data (marketing/tracking).	3 months	HTTP	LinkedIn
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linkedin_oauth_	Is needed to provide cross-page functionality.	session	HTTP	LinkedIn
lidc	Is needed to store performed actions on the website (marketing/tracking).	1 day	HTTP	LinkedIn
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X-LI-IDC	Is needed to provide cross-page functionality (marketing/tracking).	session	HTTP	LinkedIn
AnalyticsSyncHistory	Stores the time when the user was synchronized with the "lms_analytics" cookie.	30 days	HTTP	LinkedIn
lms_ads	Is needed to identify LinkedIn members outside of LinkedIn.	30 days	HTTP	LinkedIn
lms_analytics	Is needed to identify LinkedIn members for analytics purposes.	30 days	HTTP	LinkedIn
li_fat_id	Required for indirect member identification used for conversion tracking, retargeting and analytics.	30 days	HTTP	LinkedIn
U	Is needed to identify the browser.	3 months	HTTP	LinkedIn
_guid	Is needed to identify a LinkedIn member for advertising via Google Ads.	90 days	HTTP	LinkedIn