Physics Informed Shallow Machine Learning for Wind Speed Prediction

The ability to predict wind is crucial for both energy production and weather forecasting. Mechanistic models that form the basis of traditional forecasting perform poorly near the ground. In this paper, we take an alternative data-driven approach based on supervised learning. We analyze a massive d...

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Hauptverfasser:	Lagomarsino-Oneto, Daniele, Meanti, Giacomo, Pagliana, Nicolò, Verri, Alessandro, Mazzino, Andrea, Rosasco, Lorenzo, Seminara, Agnese
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Physics - Atmospheric and Oceanic Physics
Online-Zugang:	Volltext bestellen
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