Long Term Forecasting of Wind Speed for Wind Energy Application

Autor: Nihad Aghbalou, Saida R. Elazzouzi, Abdérafi Charki, Kamal Reklaoui

Publikováno v: 2018 6th International Renewable and Sustainable Energy Conference (IRSEC)
2018 6th International Renewable and Sustainable Energy Conference (IRSEC), Dec 2018, Rabat, Morocco. pp.1-7, ⟨10.1109/IRSEC.2018.8702892⟩

International audience; A novel method for long term forecasting of wind speed distribution is proposed based on the concept of training neural network. A phase space reconstruction method is used to track the evolution of the wind speed distribution

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a5fa18591a6b7b0945cc537d80c9aad
https://hal.univ-angers.fr/hal-02531116