PiggyCast: Improving weather prediction accuracy through a stacking-based ensemble AI approach

Climate Change AI - NeurIPS 2025 Accepted Work

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Bibliographic Details
Main Authors: Kimani, Josiah K. (Author) , Angélil, Oliver (Author) , Fotso, Chris (Author) , Knoblauch, Steffen (Author)
Format: Conference Paper
Language:English
Published: [Erscheinungsort nicht ermittelbar] Climate Change AI 2025
In:Sonderdruck aus: PiggyCast: Improving weather prediction accuracy through a stacking-based ensemble AI approach Paper #121 (2025)
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Online Access:Verlag, lizenzpflichtig, Volltext: https://www.climatechange.ai/papers/neurips2025/121
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Author Notes:authors: Josiah K. Kimani, African Institute for Mathematical Sciences (AIMS), South Africa; Oliver Angélil, PhD - Ishango.ai, Switzerland; Chris Fotso - Ishango.ai, Germany; Steffen Knoblauch, PhD - Heidelberg University, Germany
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Summary:Climate Change AI - NeurIPS 2025 Accepted Work
Item Description:Gesehen am 05.02.2026
Physical Description:Online Resource