15 citations as recorded by crossref.

1. FLOW Estimation and Rose Superposition (FLOWERS): an integral approach to engineering wake models M. LoCascio et al. 10.5194/wes-7-1137-2022
2. Stochastic gradient descent for wind farm optimization J. Quick et al. 10.5194/wes-8-1235-2023
3. Simultaneous sizing and energy management of multi-energy Virtual Power Plants operating in regulated energy markets A. Elgamal et al. 10.1016/j.ijepes.2024.110171
4. Multi-Timescale Wind-Based Hybrid Energy Systems A. Stanley et al. 10.1088/1742-6596/2265/4/042062
5. Automatic grouping of wind turbine types via multi-objective formulation for nonuniform wind farm layout optimization using an analytical wake model A. de Moura Ribeiro et al. 10.1016/j.enconman.2024.118759
6. Topology optimization of wind farm layouts N. Pollini 10.1016/j.renene.2022.06.019
7. Offshore wind farm layout optimization using ensemble methods K. Eikrem et al. 10.1016/j.renene.2023.119061
8. Optimizing the physical design and layout of a resilient wind, solar, and storage hybrid power plant A. Stanley & J. King 10.1016/j.apenergy.2022.119139
9. GNN Representation Learning and Multi-Objective Variable Neighborhood Search Algorithm for Wind Farm Layout Optimization Y. Li et al. 10.32604/ee.2023.045228
10. Assessing and comparing a DDPG model and GA optimization for a heat and power virtual power plant operating in a power purchase agreement scheme A. Elgamal et al. 10.1016/j.heliyon.2024.e24318
11. Floating Wind Farm Layout Optimization Considering Moorings and Seabed Variations M. Hall et al. 10.1088/1742-6596/2767/6/062038
12. Optimization Method of Wind Turbine Locations in Complex Terrain Areas Using a Combination of Simulation and Analytical Models D. Thin et al. 10.1109/ACCESS.2025.3584560
13. Wake Mixing Control For Floating Wind Farms: Analysis of the Implementation of the Helix Wake Mixing Strategy on the IEA 15-MW Floating Wind Turbine D. van den Berg et al. 10.1109/MCS.2024.3432341
14. Wind farm power density optimization according to the area size using a novel self-adaptive genetic algorithm N. Kirchner-Bossi & F. Porté-Agel 10.1016/j.renene.2023.119524
15. Efficient wind farm layout optimization with the FLOWERS AEP model and analytic gradients M. LoCascio et al. 10.1063/5.0237778