A novel two-stage data-driven model for ultra-short-term wind speed prediction
- DOI
- 10.1016/j.egyr.2022.07.051
- Published
- 2022-11
- Container
- Energy Reports
- Publisher
- Elsevier BV
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1016/j.egyr.2022.07.051,
title = {A novel two-stage data-driven model for ultra-short-term wind speed prediction},
author = {Weicheng Hu and Qingshan Yang and Pei Zhang and Ziting Yuan and Hua-Peng Chen and Hongtao Shen and Tong Zhou and Kunpeng Guo and Tian Li},
year = {2022},
journal = {Energy Reports},
doi = {10.1016/j.egyr.2022.07.051},
url = {https://doi.org/10.1016/j.egyr.2022.07.051}
}RIS
TY - JOUR TI - A novel two-stage data-driven model for ultra-short-term wind speed prediction AU - Weicheng Hu AU - Qingshan Yang AU - Pei Zhang AU - Ziting Yuan AU - Hua-Peng Chen AU - Hongtao Shen AU - Tong Zhou AU - Kunpeng Guo AU - Tian Li PY - 2022 JO - Energy Reports DO - 10.1016/j.egyr.2022.07.051 UR - https://doi.org/10.1016/j.egyr.2022.07.051 ER -
APA
Hu, W., Yang, Q., Zhang, P., Yuan, Z., Chen, H., Shen, H., Zhou, T., Guo, K., & Li, T. (2022). A novel two-stage data-driven model for ultra-short-term wind speed prediction. Energy Reports. https://doi.org/10.1016/j.egyr.2022.07.051
Source records
- crossref · retrieved 2026-09-27T03:14:48.648Z