The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
The Wind Integration National Dataset (WIND) Toolkit
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A Description of the Advanced Research WRF Version 3
Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D., Barker, D. M., Wang, W., Huang, X., & Duda, M. (2008) · UCAR/NCAR · doi:10.5065/d68s4mvh · Cited by 8,925
Summarizing multiple aspects of model performance in a single diagram
Taylor, K. E. (2001) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2000jd900719 · Cited by 8,477
A New Vertical Diffusion Package with an Explicit Treatment of Entrainment Processes
Hong, S.-Y., Noh, Y., & Dudhia, J. (2006) · Monthly Weather Review · doi:10.1175/mwr3199.1 · Cited by 7,154
Niu, G.-Y., Yang, Z.-L., Mitchell, K. E., Chen, F., Ek, M. B., Barlage, M., Kumar, A., Manning, K., Niyogi, D., Rosero, E., et al. (2011) · Journal of Geophysical Research · doi:10.1029/2010jd015139 · Cited by 2,954
Western Wind and Solar Integration Study
Energy, G., & National Renewable Energy Laboratory (NREL), G. (2010) · doi:10.2172/981991 · Cited by 465
Review of the use of Numerical Weather Prediction (NWP) Models for wind energy assessment
Al-Yahyai, S., Charabi, Y., & Gastli, A. (2010) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2010.07.001 · Cited by 347
Western Wind and Solar Integration Study Phase 2
Lew, D. J., USDOE Office of Energy Efficiency and Renewable Energy (EERE), Brinkman, G., Ibanez, E., Florita, A. R., Heaney, M. D., Hodge, B., Hummon, M., Stark, G., King, J., et al. (2013) · doi:10.2172/1095399 · Cited by 293
Self-citationBroeer, T., Fuller, J., Tuffner, F., Chassin, D. P., & Djilali, N. (2013) · Applied Energy · doi:10.1016/j.apenergy.2013.06.058 · Cited by 126
Wind resource assessment in the state of Arizona: Inventory, capacity factor, and cost
Acker, T. L., Williams, S. K., Duque, E. P., Brummels, G., & Buechler, J. T. (2006) · Renewable Energy · doi:10.1016/j.renene.2006.06.002 · Cited by 79
Effect of winds in a mountain pass on turbine performance
Clifton, A., Daniels, M. H., & Lehning, M. (2013) · Wind Energy · doi:10.1002/we.1650 · Cited by 34
Self-citation
Cited by
Model-Free Renewable Scenario Generation Using Generative Adversarial Networks
Chen, Y., Wang, Y., Kirschen, D., & Zhang, B. (2018) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2018.2794541 · Cited by 674
Aslam, S., Herodotou, H., Mohsin, S. M., Javaid, N., Ashraf, N., & Aslam, S. (2021) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2021.110992 · Cited by 649
Adversarial super-resolution of climatological wind and solar data
Stengel, K., Glaws, A., Hettinger, D., & King, R. N. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1918964117 · Cited by 287
Ali Elfarra, M., & Kaya, M. (2021) · Alexandria Engineering Journal · doi:10.1016/j.aej.2021.02.027 · Cited by 25
Simulating wind power forecast error distributions for spatially aggregated wind power plants
Miettinen, J., Holttinen, H., & Hodge, B. (2020) · Wind Energy · doi:10.1002/we.2410 · Cited by 23
Self-citation
Metadata
- Authors
- Draxl, C., Clifton, A., Hodge, B.-M., & McCaa, J.
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2015-08
- Volume
- 151
- Pages
- 355-366
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W326249748
- Cited by
- 716
- References
- 10
- FWCI
- 42.29
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
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- CoChat. (2026). Citation check: The Wind Integration National Dataset (WIND) Toolkit. https://app.cochat.ai/papers/10.1016/j.apenergy.2015.03.121
- The paper
- Draxl, C., Clifton, A., Hodge, B.-M., & McCaa, J. (2015). The Wind Integration National Dataset (WIND) Toolkit. Applied Energy. https://doi.org/10.1016/j.apenergy.2015.03.121
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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.
