| 1 |
Privacy-preserving distributed parameter estimation for probability distribution of wind power forecast error
Jia MS, Huang SW, Wang ZW, Shen C
Renewable Energy, 163, 1318, 2021 |
| 2 |
Optimization model for long-distance integrated transmission of wind farms and pumped-storage hydropower plants
Su CG, Cheng CT, Wang PL, Shen JJ, Wu XY
Applied Energy, 242, 285, 2019 |
| 3 |
Influence of ambient conditions on wind speed measurement: Impact on the annual energy production assessment
Guerrero-Villar F, Dorado-Vicente R, Fike M, Torres-Jimenez E
Energy Conversion and Management, 195, 1111, 2019 |
| 4 |
Equivalent modeling of wind energy conversion considering overall effect of pitch angle controllers in wind farm
Jin YQ, Ju P, Rehtanz C, Wu F, Pan XP
Applied Energy, 222, 485, 2018 |
| 5 |
Deep learning based ensemble approach for probabilistic wind power forecasting
Wang HZ, Li GQ, Wang GB, Peng JC, Jiang H, Liu YT
Applied Energy, 188, 56, 2017 |
| 6 |
An improved neural network-based approach for short-term wind speed and power forecast
Chang GW, Lu HJ, Chang YR, Lee YD
Renewable Energy, 105, 301, 2017 |
| 7 |
Hour-ahead wind power forecast based on random forests
Lahouar A, Slama JB
Renewable Energy, 109, 529, 2017 |
| 8 |
Sharing wind power forecasts in electricity markets: A numerical analysis
Exizidis L, Kazempour SJ, Pinson P, de Greve Z, Vallee F
Applied Energy, 176, 65, 2016 |
| 9 |
Insurance strategy for mitigating power system operational risk introduced by wind power forecasting uncertainty
Yang HM, Qiu J, Meng K, Zhao JH, Dong ZY, Lai MY
Renewable Energy, 89, 606, 2016 |
| 10 |
Stochastic predictive control of battery energy storage for wind farm dispatching: Using probabilistic wind power forecasts
Kou P, Gao F, Guan XH
Renewable Energy, 80, 286, 2015 |
