Cargando…
A k-nearest neighbor space-time simulator with applications to large-scale wind and solar power modeling
We develop and present a k-nearest neighbor space-time simulator that accounts for the spatiotemporal dependence in high-dimensional hydroclimatic fields (e.g., wind and solar) and can simulate synthetic realizations of arbitrary length. We illustrate how this statistical simulation tool can be used...
Autores principales: | Amonkar, Yash, Farnham, David J., Lall, Upmanu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9058912/ https://www.ncbi.nlm.nih.gov/pubmed/35510191 http://dx.doi.org/10.1016/j.patter.2022.100454 |
Ejemplares similares
-
Compressed kNN: K-Nearest Neighbors with Data Compression
por: Salvador–Meneses, Jaime, et al.
Publicado: (2019) -
Gravity-Matching Algorithm Based on K-Nearest Neighbor
por: Gao, Shuaipeng, et al.
Publicado: (2022) -
Lectures on the nearest neighbor method
por: Biau, Gérard, et al.
Publicado: (2015) -
A k-nearest neighbor classification of hERG K(+) channel blockers
por: Chavan, Swapnil, et al.
Publicado: (2016) -
Dimensionality reduction with unsupervised nearest neighbors
por: Kramer, Oliver
Publicado: (2013)