44 citations as recorded by crossref.

1. Optimizing the Wind Farm Layout for Minimizing the Wake Losses A. Bellat et al. 10.25046/aj060135
2. A machine learning approach for modeling irregular regions with multiple owners in wind farm layout design S. Reddy 10.1016/j.energy.2020.119691
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4. A simplified, efficient approach to hybrid wind and solar plant site optimization C. Tripp et al. 10.5194/wes-7-697-2022
5. FLOWERS AEP: An Analytical Model for Wind Farm Layout Optimization M. LoCascio et al. 10.1002/we.2954
6. Wind farm layout optimization with load constraints using surrogate modelling R. Riva et al. 10.1088/1742-6596/1618/4/042035
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8. Evaluation of the potential for wake steering for U.S. land-based wind power plants D. Bensason et al. 10.1063/5.0039325
9. Wake expansion continuation: Multi‐modality reduction in the wind farm layout optimization problem J. Thomas et al. 10.1002/we.2692
10. Evaluating the Performance of various Algorithms for Wind Energy Optimization: A Hybrid Decision-Making model A. Ala et al. 10.1016/j.eswa.2023.119731
11. Dynamic web-based GIS tool for pre-feasibility evaluation of renewable energy projects E. Sainz-Ortiz et al. 10.1016/j.enconman.2024.119162
12. Turbine scale and siting considerations in wind plant layout optimization and implications for capacity density A. Stanley et al. 10.1016/j.egyr.2022.02.226
13. An optimization framework for wind farm layout design using CFD-based Kriging model Z. Wang et al. 10.1016/j.oceaneng.2023.116644
14. A method for fast and accurate prediction of wind turbine thrust coefficients using classical momentum theory and power curve V. Tai et al. 10.1088/1755-1315/1372/1/012021
15. Realistic Optimization of Parallelogram-Shaped Offshore Wind Farms Considering Continuously Distributed Wind Resources A. Gonzalez-Rodriguez et al. 10.3390/en14102895
16. Objective and algorithm considerations when optimizing the number and placement of turbines in a wind power plant A. Stanley et al. 10.5194/wes-6-1143-2021
17. A comparison of eight optimization methods applied to a wind farm layout optimization problem J. Thomas et al. 10.5194/wes-8-865-2023
18. Reliability‐based layout optimization in offshore wind energy systems C. Clark et al. 10.1002/we.2664
19. The Coriolis force and the direction of rotation of the blades significantly affect the wake of wind turbines R. Nouri et al. 10.1016/j.apenergy.2020.115511
20. An efficient method for modeling terrain and complex terrain boundaries in constrained wind farm layout optimization S. Reddy 10.1016/j.renene.2020.10.076
21. Wind Farm Layout Optimization Using Multiobjective Modified Electric Charged Particles Optimization Algorithm Based on Game Theory Indexing in Real Onshore Area T. Hidayat et al. 10.3390/su162310222
22. Efficient wind farm layout optimization with the FLOWERS AEP model and analytic gradients M. LoCascio et al. 10.1063/5.0237778
23. Metocean conditions at two Norwegian sites for development of offshore wind farms E. Cheynet et al. 10.1016/j.renene.2024.120184
24. A two-step topology and layout wind farm optimization approach N. Pollini 10.1088/1742-6596/2767/9/092003
25. Towards sequential sensor placements on a wind farm to maximize lifetime energy and profit A. Yildiz et al. 10.1016/j.renene.2023.119040
26. Speeding up large-wind-farm layout optimization using gradients, parallelization, and a heuristic algorithm for the initial layout R. Valotta Rodrigues et al. 10.5194/wes-9-321-2024
27. Control-oriented model for secondary effects of wake steering J. King et al. 10.5194/wes-6-701-2021
28. FLOW Estimation and Rose Superposition (FLOWERS): an integral approach to engineering wake models M. LoCascio et al. 10.5194/wes-7-1137-2022
29. Machine learning enables national assessment of wind plant controls with implications for land use D. Harrison‐Atlas et al. 10.1002/we.2689
30. 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
31. Optimizing wind farms layouts for maximum energy production using probabilistic inference: Benchmarking reveals superior computational efficiency and scalability A. Dhoot et al. 10.1016/j.energy.2021.120035
32. A Two-Step Grid–Coordinate Optimization Method for a Wind Farm with a Regular Layout Using a Genetic Algorithm G. Huang et al. 10.3390/en17133273
33. A neighborhood search integer programming approach for wind farm layout optimization J. Pérez-Rúa et al. 10.5194/wes-8-1453-2023
34. Topology optimization of wind farm layouts N. Pollini 10.1016/j.renene.2022.06.019
35. Evaluating wind-farm power generation using a new direct integration of axisymmetric turbine wake K. Ali et al. 10.1088/1742-6596/2767/9/092015
36. Data-driven optimisation of wind farm layout and wake steering with large-eddy simulations N. Bempedelis et al. 10.5194/wes-9-869-2024
37. Effectively using multifidelity optimization for wind turbine design J. Jasa et al. 10.5194/wes-7-991-2022
38. Optimization of a wind farm layout to mitigate the wind power intermittency T. Kim et al. 10.1016/j.apenergy.2024.123383
39. Need For Speed: Fast Wind Farm Optimization M. Sarcos et al. 10.1088/1742-6596/2767/9/092088
40. Data-driven wake model parameter estimation to analyze effects of wake superposition M. LoCascio et al. 10.1063/5.0163896
41. Stochastic black-box optimization using multi-fidelity score function estimator A. Agrawal et al. 10.1088/2632-2153/ad8e2b
42. Wind farm layout optimization using adaptive evolutionary algorithm with Monte Carlo Tree Search reinforcement learning F. Bai et al. 10.1016/j.enconman.2021.115047
43. A framework for simultaneous design of wind turbines and cable layout in offshore wind J. Pérez-Rúa & N. Cutululis 10.5194/wes-7-925-2022
44. Massive simplification of the wind farm layout optimization problem A. Stanley & A. Ning 10.5194/wes-4-663-2019