Machine Learning Methods for Spatial Interpolation of Wind
In this study, two popular machine learning approaches and a number of common simple spatial interpolation techniques are applied to spatial estimation of wind field observations in Sweden. Specifically, neural network and random forest models using geographical coordinates as input variables are co...
| Main Author: | |
|---|---|
| Format: | Others |
| Language: | English |
| Published: |
KTH, Skolan för teknikvetenskap (SCI)
2020
|
| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-275743 |