| 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 |
Time series forecasting of solar power generation for large-scale photovoltaic plants
Sharadga H, Hajimirza S, Balog RS
Renewable Energy, 150, 797, 2020 |
| 7 |
Multi-distribution ensemble probabilistic wind power forecasting
Sun MC, Feng C, Zhang J
Renewable Energy, 148, 135, 2020 |
| 8 |
Power forecasting-based coordination dispatch of PV power generation and electric vehicles charging in microgrid
Hao Y, Dong L, Liang J, Liao XZ, Wang LJ, Shi LF
Renewable Energy, 155, 1191, 2020 |
| 9 |
Research on short-term wind power combined forecasting and its Gaussian cloud uncertainty to support the integration of renewables and EVs
Zhang JH, Meng H, Gu B, Li P
Renewable Energy, 153, 884, 2020 |
| 10 |
A copula-based Bayesian method for probabilistic solar power forecasting
Panamtash H, Zhou Q, Hong T, Qu ZH, Davis KO
Solar Energy, 196, 336, 2020 |
