Search Results for author: Pete Riley

Found 3 papers, 1 papers with code

Improving solar wind forecasting using Data Assimilation

1 code implementation11 Dec 2020 Matthew Lang, Jake Witherington, Harriet Turner, Matt Owens, Pete Riley

And the DA scheme enables the representation of the solar wind in the whole model domain between the Sun and the Earth to be improved, which will enable improved forecasting of CME arrival time and speed.

Weather Forecasting

Evaluating Preprocessing Strategies for Time Series Prediction Using Deep Learning Architectures

no code implementations Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference 520 2017 Sajitha Naduvil-Vadukootu, Rafal A. Angryk, Pete Riley

We propose a novel approach to combine state-of-the-art time series data processing methods, such as symbolic aggregate approximation (SAX), with very recently developed deep neural network architectures, such as deep recurrent neural networks (DRNN), for time series data modeling and prediction.

Time Series Time Series Prediction

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