| 1 |
Commissioning of the World's First Full-Scale MW-Class Superconducting Generator on a Direct Drive Wind Turbine
Song XW, Buhrer C, Molgaard A, Andersen RS, Brutsaert P, Bauer M, Hansen J, Rebsdorf AV, Kellers J, Winkler T, Bergen A, Dhalle M, Wessel S, ter Brake M, Wiezoreck J, Kyling H, Boy H, Seitz E
IEEE Transactions on Energy Conversion, 35(3), 1697, 2020 |
| 2 |
Theoretical energy storage system sizing method and performance analysis for wind power forecast uncertainty management
Oh E, Son SY
Renewable Energy, 155, 1060, 2020 |
| 3 |
Forecasting energy consumption and wind power generation using deep echo state network
Hu HL, Wang L, Lv SX
Renewable Energy, 154, 598, 2020 |
| 4 |
A two-stage supervised learning approach for electricity price forecasting by leveraging different data sources
Luo SM, Weng Y
Applied Energy, 242, 1497, 2019 |
| 5 |
The influence of demand response on wind-integrated power system considering participation of the demand side
Gao JW, Ma ZY, Guo FJ
Energy, 178, 723, 2019 |
| 6 |
Design and Performance Analysis of Dual-Stator Brushless Doubly-Fed Machine With Cage-Barrier Rotor
Liu H, Zhang Y, Zhang FG, Jin S, Zhang H, Nian H
IEEE Transactions on Energy Conversion, 34(3), 1347, 2019 |
| 7 |
Active and Reactive Power Sharing Between Three-Phase Winding Sets of a Multiphase Induction Machine
Subotic I, Dordevic O, Gomm JB, Levi E
IEEE Transactions on Energy Conversion, 34(3), 1401, 2019 |
| 8 |
Seasonal forecasts of wind power generation
Lledo L, Torralba V, Soret A, Ramon J, Doblas-Reyes FJ
Renewable Energy, 143, 91, 2019 |
| 9 |
Flow-based nodal cost allocation in a heterogeneous highly renewable European electricity network
Tranberg B, Schwenk-Nebbe LJ, Schafer M, Horsch J, Greiner M
Energy, 150, 122, 2018 |
| 10 |
Forecasting energy demand, wind generation and carbon dioxide emissions in Ireland using evolutionary neural networks
Mason K, Duggan J, Howley E
Energy, 155, 705, 2018 |
