Localized Convolutional Neural Networks for Geospatial Wind Forecasting

Localized Convolutional Neural Networks for Geospatial Wind Forecasting

Convolutional Neural Networks (CNN) possess many positive qualities when it comes to spatial raster data. Translation invariance enables CNNs to detect features regardless of their position in the scene. However, in some domains, like geospatial, not all locations are exactly equal. In this work, we...

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Bibliografske podrobnosti
Main Authors: Arnas Uselis, Mantas Lukoševičius, Lukas Stasytis
Format: Article
Jezik:English
Izdano: MDPI AG 2020-07-01
Serija:Energies
Teme:
convolutional neural networks
recurrent neural networks
deep learning
machine learning
spatial-temporal wind forecasting
Online dostop:https://www.mdpi.com/1996-1073/13/13/3440

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https://www.mdpi.com/1996-1073/13/13/3440

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