| 1 |
Evolving fuzzy time series for spatio-temporal forecasting in renewable energy systems
Severiano CA, Silva PCDE, Cohen MW, Guimaraes FG
Renewable Energy, 171, 764, 2021 |
| 2 |
Application of autoregressive dynamic adaptive (ARDA) model in realtime wind power forecasting
Zhang F, Li PC, Gao L, Liu YQ, Ren XY
Renewable Energy, 169, 129, 2021 |
| 3 |
Short-term forecasting and uncertainty analysis of wind power based on long short-term memory, cloud model and non-parametric kernel density estimation
Gu B, Zhang TR, Meng H, Zhang JH
Renewable Energy, 164, 687, 2021 |
| 4 |
Wind power forecasting - A data-driven method along with gated recurrent neural network
Kisvari A, Lin Z, Liu XL
Renewable Energy, 163, 1895, 2021 |
| 5 |
A hybrid wind power forecasting approach based on Bayesian model averaging and ensemble learning
Wang G, Jia R, Liu JH, Zhang HG
Renewable Energy, 145, 2426, 2020 |
| 6 |
Multi-distribution ensemble probabilistic wind power forecasting
Sun MC, Feng C, Zhang J
Renewable Energy, 148, 135, 2020 |
| 7 |
Sequence transfer correction algorithm for numerical weather prediction wind speed and its application in a wind power forecasting system
Wang H, Han S, Liu YQ, Yan J, Li L
Applied Energy, 237, 1, 2019 |
| 8 |
A novel two-stage forecasting model based on error factor and ensemble method for multi-step wind power forecasting
Hao Y, Tian CS
Applied Energy, 238, 368, 2019 |
| 9 |
A hybrid deep learning-based neural network for 24-h ahead wind power forecasting
Hong YY, Rioflorido CLPP
Applied Energy, 250, 530, 2019 |
| 10 |
Characterizing forecastability of wind sites in the United States
Feng C, Sun MC, Cui MJ, Chartan EK, Hodge BM, Zhang J
Renewable Energy, 133, 1352, 2019 |
