Name
Title | ||
|---|---|---|
Persistence Analysis and Prediction of Low-Visibility Events at Valladolid Airport, Spain. |
Abstract | ||
|---|---|---|
This work presents an analysis of low-visibility event persistence and prediction at Villanubla Airport (Valladolid, Spain), considering Runway Visual Range (RVR) time series in winter. The analysis covers long- and short-term persistence and prediction of the series, with different approaches. In the case of long-term analysis, a Detrended Fluctuation Analysis (DFA) approach is applied in order to estimate large-scale RVR time series similarities. The short-term persistence analysis of low-visibility events is evaluated by means of a Markov chain analysis of the binary time series associated with low-visibility events. We finally discuss an hourly short-term prediction of low-visibility events, using different approaches, some of them coming from the persistence analysis through Markov chain models, and others based on Machine Learning (ML) techniques. We show that a Mixture of Experts approach involving persistence-based methods and Machine Learning techniques provides the best results in this prediction problem. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.3390/sym12061045 | SYMMETRY-BASEL |
Keywords | DocType | Volume |
low-visibility events,radiation fog,persistence analysis,detrended fluctuation analysis,markov chains,machine learning algorithms | Journal | 12 |
Issue | Citations | PageRank |
6 | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sara Cornejo-Bueno | 1 | 0 | 0.68 |
| David Casillas-Perez | 2 | 0 | 3.38 |
| Laura Cornejo-Bueno | 3 | 0 | 0.34 |
| Mihaela I. Chidean | 4 | 0 | 0.34 |
| Antonio J. Caamaño | 5 | 82 | 12.07 |
| Julia Sanz-Justo | 6 | 0 | 0.34 |
| Carlos Casanova-Mateo | 7 | 25 | 3.23 |
| Sancho Salcedo-Sanz | 8 | 580 | 71.21 |