The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Expert elicitation survey predicts 37% to 49% declines in wind energy costs by 2050
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Citations
Cites
Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis
Morgan, M. G., & Henrion, M. (1990) · Cambridge University Press eBooks · doi:10.1017/cbo9780511840609 · Cited by 1,711
Uncertain Judgements: Eliciting Experts' Probabilities
O'Hagan, A., Buck, C. E., Daneshkhah, A., Eiser, J. R., Garthwaite, P. H., Jenkinson, D. J., Oakley, J. E., & Rakow, T. (2006) · doi:10.1002/0470033312 · Cited by 1,550
Grand challenges in the science of wind energy
Veers, P., Dykes, K., Lantz, E., Barth, S., Bottasso, C. L., Carlson, O., Clifton, A., Green, J., Green, P., Holttinen, H., et al. (2019) · Science · doi:10.1126/science.aau2027 · Cited by 1,242
Self-citationExperts in uncertainty: opinion and subjective probability in science
(1992) · Choice Reviews Online · doi:10.5860/choice.29-5666 · Cited by 1,129
Experts In Uncertainty: Opinion and Subjective Probability in Science
Cooke, R. M. (1991) · doi:10.1093/oso/9780195064650.001.0001 · Cited by 1,107
Use (and abuse) of expert elicitation in support of decision making for public policy
Morgan, M. G. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1319946111 · Cited by 702
Thirty years of North American wind energy acceptance research: What have we learned?
Rand, J., & Hoen, B. (2017) · Energy Research & Social Science · doi:10.1016/j.erss.2017.05.019 · Cited by 466
Self-citationEstimating the cost of capital for renewable energy projects
Steffen, B. (2020) · Energy Economics · doi:10.1016/j.eneco.2020.104783 · Cited by 397
A dynamic analysis of financing conditions for renewable energy technologies
Egli, F., Steffen, B., & Schmidt, T. S. (2018) · Nature Energy · doi:10.1038/s41560-018-0277-y · Cited by 388
On the economics of renewable energy sources
Edenhofer, O., Hirth, L., Knopf, B., Pahle, M., Schlömer, S., Schmid, E., & Ueckerdt, F. (2013) · Energy Economics · doi:10.1016/j.eneco.2013.09.015 · Cited by 307
Cited by
Probabilistic feasibility space of scaling up green hydrogen supply
Odenweller, A., Ueckerdt, F., Nemet, G. F., Jensterle, M., & Luderer, G. (2022) · Nature Energy · doi:10.1038/s41560-022-01097-4 · Cited by 526
Battery cost forecasting: a review of methods and results with an outlook to 2050
Mauler, L., Duffner, F., Zeier, W. G., & Leker, J. (2021) · Energy & Environmental Science · doi:10.1039/d1ee01530c · Cited by 499
Thousands of AI Authors on the Future of AI
Grace, K., Sandkühler, J. F., Stewart, H., Weinstein-Raun, B., Thomas, S., Stein-Perlman, Z., Salvatier, J., Brauner, J., & Korzekwa, R. C. (2025) · Journal of Artificial Intelligence Research · doi:10.1613/jair.1.19087 · Cited by 201
Metadata
- Authors
- Wiser, R., Rand, J., Seel, J., Beiter, P., Baker, E., Lantz, E., & Gilman, P.
- Venue
- Nature Energy
- Published
- 2021-04-15
- Volume
- 6
- Issue
- 5
- Pages
- 555-565
- ISSN
- 2058-7546 (ISSN-L)
- OpenAlex
- W3156844323
- Cited by
- 429
- References
- 40
- FWCI
- 38.53
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Expert elicitation survey predicts 37% to 49% declines in wind energy costs by 2050. https://app.cochat.ai/papers/10.1038/s41560-021-00810-z
- The paper
- Wiser, R., Rand, J., Seel, J., Beiter, P., Baker, E., Lantz, E., & Gilman, P. (2021). Expert elicitation survey predicts 37% to 49% declines in wind energy costs by 2050. Nature Energy. https://doi.org/10.1038/s41560-021-00810-z
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.
