Communication
Auto-Encoder with Neural Networks for Wind Speed Forecasting
Hatem Mezaache✉, Hassen Bouzgou
Résumé
The use of wind energy is progressively utilized to produce electrical energy. Wind energy is related to the variation of some atmospheric variables such as wind direction, wind speed, air density and atmospheric pressure. Recently, numerous methods base on Artificial Intelligence techniques to forecast wind speed have been proposed in the literature. In this paper a new artificial intelligence ap...
Détails
| Langue originale | English |
|---|---|
| Revue | 2018 International Conference on Communications and Electrical Engineering (ICCEE) |
| Numéro d’article | 8634551 |
| Pages | 1-5 |
| DOI | 10.1109/ccee.2018.8634551 |
| Statut de publication | Publié — 2018 |