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Machine Learning Based Wind and Turbulence Prediction at Urban-Scale for Drone Operations | Springer Nature Link

Abstract

This study involves developing an unsupervised machine-learning (ML) framework (an artificial intelligence (AI) approach) for predicting micro-scale wind and turbulence. The localized wind and turbulence information from AI is a potential enabler for path planning of...

Category

Academic monograph

Language

English

Affiliation

  • SINTEF Digital / Mathematics and Cybernetics

Year

2026

Publisher

Springer Nature

ISBN

9783032151346

View this publication at Norwegian Research Information Repository