Exploiting sparsity of interconnections in spatio-temporal wind speed forecasting using Wavelet Transform

By A. Taşcıkaraoǧlu, Borhan Molazem Sanandaji, Kameshwar Poolla, Pravin Pratap Varaiya. 2016

161 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Electrical and Electronic Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Borhan Molazem Sanandaji

In Electrical and Electronic Engineering

1. Amir Ghaderi
2. Faezeh Ghaderi
3. Borhan Molazem Sanandaji

Citations in the corpus

• Deep Forecast: Deep Learning-based Spatio-Temporal Forecasting (2017, methodology): “More details about how other methods work are available in (Sanandaji et al., 2015), (Tascikaraoglu et al., 2016).”