The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
A Review of Methodological Approaches for the Design and Optimization of Wind Farms
Open accessAbstract
This article presents a review of the state of the art of the Wind Farm Design and Optimization (WFDO) problem. The WFDO problem refers to a set of advanced planning actions needed to extremize the performance of wind farms, which may be composed of a few individual Wind Turbines (WTs) up to thousands of WTs. The WFDO problem has been investigated in different scenarios, with substantial differences in main objectives, modelling assumptions, constraints, and numerical solution methods. The aim of this paper is: (1) to present an exhaustive survey of the literature covering the full span of the subject, an analysis of the state-of-the-art models describing the performance of wind farms as well as its extensions, and the numerical approaches used to solve the problem; (2) to provide an overview of the available knowledge and recent progress in the application of such strategies to real onshore and offshore wind farms; and (3) to propose a comprehensive agenda for future research.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Genetic algorithms in search, optimization, and machine learning
(1989) · Choice Reviews Online · doi:10.5860/choice.27-0936 · Cited by 49,010
Optimization by Simulated Annealing
Kirkpatrick, S., Gelatt, C. D., & Vecchi, M. P. (1983) · Science · doi:10.1126/science.220.4598.671 · Cited by 45,134
Particle swarm optimization: An overview
Poli, R., Kennedy, J., & Blackwell, T. (2007) · Swarm Intelligence · doi:10.1007/s11721-007-0002-0 · Cited by 21,101
No free lunch theorems for optimization
Wolpert, D. H., & Macready, W. G. (1997) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.585893 · Cited by 14,237
Reducibility among Combinatorial Problems
Karp, R. M. (1972) · Complexity of Computer Computations · doi:10.1007/978-1-4684-2001-2_9 · Cited by 11,511
The complexity of theorem-proving procedures
Cook, S. A. (1971) · Proceedings of the third annual ACM symposium on Theory of computing - STOC '71 · doi:10.1145/800157.805047 · Cited by 6,385
On the shortest spanning subtree of a graph and the traveling salesman problem
Kruskal, J. B. (1956) · Proceedings of the American Mathematical Society · doi:10.1090/s0002-9939-1956-0078686-7 · Cited by 5,088
Shortest Connection Networks And Some Generalizations
Prim, R. C. (1957) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1957.tb01515.x · Cited by 4,565
Mladenović, N., & Hansen, P. (1997) · Computers & Operations Research · doi:10.1016/s0305-0548(97)00031-2 · Cited by 4,254
Burton, T., Sharpe, D., Jenkins, N., & Bossanyi, E. (2001) · Wiley eBooks · doi:10.1002/0470846062 · Cited by 3,559
Metadata
- Authors
- Herbert-Acero, J., Probst, O., Réthoré, P.-E., Larsen, G., & Castillo-Villar, K.
- Venue
- Energies
- Publisher
- MDPI AG
- Published
- 2014-10-29
- Volume
- 7
- Issue
- 11
- Pages
- 6930-7016
- ISSN
- 1996-1073 (ISSN-L)
- OpenAlex
- W1986377643
- Cited by
- 311
- References
- 61
- FWCI
- 30.85
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Review of Methodological Approaches for the Design and Optimization of Wind Farms. https://app.cochat.ai/papers/10.3390/en7116930
- The paper
- Herbert-Acero, J., Probst, O., Réthoré, P.-E., Larsen, G., & Castillo-Villar, K. (2014). A Review of Methodological Approaches for the Design and Optimization of Wind Farms. Energies. https://doi.org/10.3390/en7116930
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
