Multi-step wind speed forecasting and Hurst analysis using novel hybrid secondary decomposition approach
Yazarlar (2)
Prof. Dr. Cem EMEKSİZ Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Mustafa Tan Tokat Gaziosmanpaşa Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Energy (Q1) | ||
| Dergi ISSN | 0360-5442 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | Türkçe | Basım Tarihi | 01-2022 |
| Cilt / Sayı / Sayfa | 238 / 1 / – | DOI | 10.1016/j.energy.2021.121764 |
| Makale Linki | http://dx.doi.org/10.1016/j.energy.2021.121764 | ||
| Özet |
| Wind speed should be predicted in a sensitive and reliable manner for the effective use of wind energy in wind farms. However, the volatility and non-linearity features of wind make it difficult to do so. Hence, many researchers have focused on the development of reliable prediction models for wind speed. Aimed at this challenge, the present study... |
| Anahtar Kelimeler |
| Back propagation neural network | Hurst analysis | Hybrid decomposition technique | Local mean decomposition | Wind speed forecasting |
Science Direct
Multi-step wind speed forecasting and Hurst analysis using novel hybrid secondary decomposition approach
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Scopus | 30 |
| Web of Science | 68 |