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Bayesian uncertainty quantification framework for wake model calibration and validation with historical wind farm power data. <i>Wind Energ. 26(8)</i>: 786-802. <a href=\"https://dx.doi.org/10.1002/we.2841\" target=\"_blank\">https://dx.doi.org/10.1002/we.2841</a>","PeerRev":1},{"BRefID":382876,"RR":"<b>Bon, T.; Broos, D.; Cal, R.B.; Meyers, J.</b> (2023). Secondary flows induced by two-dimensional surface temperature heterogeneity in stably stratified channel flow. <i>J. Fluid Mech. 970</i>: A20. <a href=\"https://dx.doi.org/10.1017/jfm.2023.619\" target=\"_blank\">https://dx.doi.org/10.1017/jfm.2023.619</a>","PeerRev":1},{"BRefID":382959,"RR":"<b>Chen, W.J.; Tai, K.; Lau, M.W.S.; Abdelhakim, A.; Chan, R.R.; Adnanes, A.K.; Tjahjowidodo, T.</b> (2023). Robust real-time shipboard energy management system with improved adaptive model predictive control. <i>IEEE Access 11</i>: 110342-110360. <a href=\"https://dx.doi.org/10.1109/ACCESS.2023.3321692\" target=\"_blank\">https://dx.doi.org/10.1109/ACCESS.2023.3321692</a>","PeerRev":1},{"BRefID":382726,"RR":"<b>Chen, W.J.; Tai, K.; Lau, M.W.S.; Abdelhakim, A.; Chan, R.R.; Adnanes, A.K.; Tjahjowidodo, T.</b> (2023). Optimal power and energy management control for hybrid fuel cell-fed shipboard DC microgrid. <i>Ieee Transactions on Intelligent Transportation Systems 24(12)</i>: 14133-14150. <a href=\"https://dx.doi.org/10.1109/TITS.2023.3303886\" target=\"_blank\">https://dx.doi.org/10.1109/TITS.2023.3303886</a>","PeerRev":1},{"BRefID":382759,"RR":"<b>Ghorbani, M.T.; Slaets, P.; Lacey, J.</b> (2023). A numerical simulation tool for a wind-assisted vessel verified with logged data at sea. <i>Ocean Eng. 290</i>: 116319. <a href=\"https://dx.doi.org/10.1016/j.oceaneng.2023.116319\" target=\"_blank\">https://dx.doi.org/10.1016/j.oceaneng.2023.116319</a>","PeerRev":1},{"BRefID":391445,"RR":"<b>Harzer, J.; De Schutter, J.; Diehl, M.; Meyers, J.</b> (2023). Dynamic soaring in wind turbine wakes. <i>European Journal of Control 74</i>: 100842. <a href=\"https://dx.doi.org/10.1016/j.ejcon.2023.100842\" target=\"_blank\">https://dx.doi.org/10.1016/j.ejcon.2023.100842</a>","PeerRev":1},{"BRefID":382729,"RR":"<b>Jamaer, S.; Allaerts, D.; Meyers, J.; van Lipzig, N.P.M.</b> (2023). A novel framework for spatiotemporal analysis of temperature profiles applied to Europe. <i>Journal of Applied Meteorology and Climatology 62(12)</i>: 1855-1873. <a href=\"https://dx.doi.org/10.1175/JAMC-D-22-0205.1\" target=\"_blank\">https://dx.doi.org/10.1175/JAMC-D-22-0205.1</a>","PeerRev":1},{"BRefID":391537,"RR":"<b>Lanzilao, L.; Meyers, J.</b> (2023). An improved fringe-region technique for the representation of gravity waves in large eddy simulation with application to wind farms. <i>Boundary-Layer Meteorol. 186(3)</i>: 567-593. <a href=\"https://dx.doi.org/10.1007/s10546-022-00772-z\" target=\"_blank\">https://dx.doi.org/10.1007/s10546-022-00772-z</a>","PeerRev":1},{"BRefID":391515,"RR":"<b>Liu, B.; Vanierschot, M.; Buysschaert, F.</b> (2023). Optimization design of the duct of a rim-driven thruster using the adjoint approach. <i>Ocean Eng. 278</i>: 114293. <a href=\"https://dx.doi.org/10.1016/j.oceaneng.2023.114293\" target=\"_blank\">https://dx.doi.org/10.1016/j.oceaneng.2023.114293</a>","PeerRev":1},{"BRefID":367617,"RR":"<b>Liu, B.; Vanierschot, M.; Buysschaert, F.</b> (2023). Numerical study of scale effects on the open water performance of a rim-driven thruster. <i>Appl. Ocean Res. 138</i>: 103667. <a href=\"https://dx.doi.org/10.1016/j.apor.2023.103667\" target=\"_blank\">https://dx.doi.org/10.1016/j.apor.2023.103667</a>","PeerRev":1},{"BRefID":361651,"RR":"<b>Negenborn, R.R.; Goerlandt, F.; Johansen, T.A.; Slaets, P.; Valdez Banda, O.A.; Vanelslander, T.; Ventikos, N.P.</b> (2023). Autonomous ships are on the horizon: here’s what we need to know. <i>Nature (Lond.) 615(7950)</i>: 30-33. <a href=\"https://dx.doi.org/10.1038/d41586-023-00557-5\" target=\"_blank\">https://dx.doi.org/10.1038/d41586-023-00557-5</a>","PeerRev":1},{"BRefID":361516,"RR":"<b>Gonzalez-Garcia, A.; Collado-Gonzalez, I.; Cuan-Urquizo, R.; Sotelo, C.; Sotelo, D.; Castañeda, H.</b> (2022). Path-following and LiDAR-based obstacle avoidance via NMPC for an autonomous surface vehicle. <i>Ocean Eng. 266(Part 3)</i>: 112900. <a href=\"https://dx.doi.org/10.1016/j.oceaneng.2022.112900\" target=\"_blank\">https://dx.doi.org/10.1016/j.oceaneng.2022.112900</a>","PeerRev":1},{"BRefID":353431,"RR":"<b>Lanzilao, L.; Meyers, J.</b> (2022). A new wake-merging method for wind-farm power prediction in the presence of heterogeneous background velocity fields. <i>Wind Energ. 25(2)</i>: 237-259. <a href=\"https://dx.doi.org/10.1002/we.2669\" target=\"_blank\">https://dx.doi.org/10.1002/we.2669</a>","PeerRev":1},{"BRefID":362054,"RR":"<b>Liu, B.; Vanierschot, M.; Buysschaert, F.</b> (2022). Effects of transition turbulence modeling on the hydrodynamic performance prediction of a rim-driven thruster under different duct designs. <i>Ocean Eng. 256</i>: 111142. <a href=\"https://dx.doi.org/10.1016/j.oceaneng.2022.111142\" target=\"_blank\">https://dx.doi.org/10.1016/j.oceaneng.2022.111142</a>","PeerRev":1},{"BRefID":361420,"RR":"<b>Meyers, J.; Bottasso, C.; Dykes, K.; Fleming, P.; Gebraad, P.; Giebel, G.; Göçmen, T.; van Wingerden, J.-W.</b> (2022). Wind farm flow control: prospects and challenges. <i>Wind Energy Science 7(6)</i>: 2271-2306. <a href=\"https://dx.doi.org/10.5194/wes-7-2271-2022\" target=\"_blank\">https://dx.doi.org/10.5194/wes-7-2271-2022</a>","PeerRev":1},{"BRefID":362184,"RR":"<b>Porchetta, S.; Carlesi, T.; Vetrano, M.R.; van Beeck, J.; Laboureur, D.</b> (2022). Experimental investigation of the airflow structure above mechanically generated regular waves for both aligned and opposed wind-wave directions. <i>Experimental Thermal and Fluid Science 133</i>: 110578. <a href=\"https://dx.doi.org/10.1016/j.expthermflusci.2021.110578\" target=\"_blank\">https://dx.doi.org/10.1016/j.expthermflusci.2021.110578</a>","PeerRev":1},{"BRefID":361387,"RR":"<b>Sood, I.; Simon, E.; Vitsas, A.; Blockmans, B.; Larsen, G.C.; Meyers, J.</b> (2022). Comparison of large eddy simulations against measurements from the Lillgrund offshore wind farm. <i>Wind Energy Science 7(6)</i>: 2469-2489. <a href=\"https://dx.doi.org/10.5194/wes-7-2469-2022\" target=\"_blank\">https://dx.doi.org/10.5194/wes-7-2469-2022</a>","PeerRev":1},{"BRefID":361388,"RR":"<b>Veers, P.; Dykes, K.; Basu, S.; Bianchini, A.; Clifton, A.; Green, P.; Holttinen, H.; Kitzing, L.; Kosovic, B.; Lundquist, J.K.; Meyers, J.; O'Malley, M.; Shaw, W.J.; Straw, B.</b> (2022). Grand Challenges: wind energy research needs for a global energy transition. <i>Wind Energy Science 7(6)</i>: 2491-2496. <a href=\"https://dx.doi.org/10.5194/wes-7-2491-2022\" target=\"_blank\">https://dx.doi.org/10.5194/wes-7-2491-2022</a>","PeerRev":1},{"BRefID":353605,"RR":"<b>Ho, L.V.; Nguyen, D.H.; Mousavi, M.; De Roeck, G.; Bui-Tien, T.; Gandomi, A.H.; Abdel Wahab, M.</b> (2021). A hybrid computational intelligence approach for structural damage detection using marine predator algorithm and feedforward neural networks. <i>Comput. Struct. 252</i>: 106568. <a href=\"https://dx.doi.org/10.1016/j.compstruc.2021.106568\" target=\"_blank\">https://dx.doi.org/10.1016/j.compstruc.2021.106568</a>","PeerRev":1},{"BRefID":337502,"RR":"<b>Gomez-Rueda, Y.; Zaini, I.N.; Yang, W.; Helsen, L.</b> (2020). Seashell waste-derived materials for secondary catalytic tar reduction in municipal solid waste gasification. <i>Biomass Bioenerg. 143</i>: 105828. <a href=\"https://hdl.handle.net/10.1016/j.biombioe.2020.105828\" target=\"_blank\">https://hdl.handle.net/10.1016/j.biombioe.2020.105828</a>","PeerRev":1},{"BRefID":337778,"RR":"<b>Mina, T.; Singh, Y.; Min, B.-C.</b> (2020). Maneuvering ability-based weighted potential field framework for multi-USV navigation, guidance, and control. <i>Mar. Technol. Soc. 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