BEGIN:VCALENDAR
VERSION:2.0
PRODID:spatie/icalendar-generator
NAME:AI-based location identification for decentralized electrolysers (lect
 ure language: German) [HUSUM WIND 2025]
X-WR-CALNAME:AI-based location identification for decentralized electrolyse
 rs (lecture language: German) [HUSUM WIND 2025]
BEGIN:VTIMEZONE
TZID:Europe/Zurich
BEGIN:DAYLIGHT
DTSTART:20250330T020000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
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BEGIN:STANDARD
DTSTART:20251026T030000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
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BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
DTSTART:20250618T171218
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
END:STANDARD
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BEGIN:VEVENT
UID:69b6e872c09b8
DTSTAMP:20260315T171218Z
DTSTART;TZID=Europe/Zurich:20250918T130000
DTEND;TZID=Europe/Zurich:20250918T132000
SUMMARY:AI-based location identification for decentralized electrolysers (l
 ecture language: German) [HUSUM WIND 2025]
DESCRIPTION:https://www.husumwind.com/en/e/ai-based-location-identification
 -for-decentralized-electrolysers-lecture-language-german.69947\n\nJimmie L
 angham demonstrates how AI-supported geodata analysis combined with expert
  knowledge systematically identifies optimal locations—e.g.\, for co-loc
 ation with wind farms and behind-the-meter concepts.
LOCATION:Hall 2\, booth D26
END:VEVENT
END:VCALENDAR