Retracted: Forecasting model for wind power integrating least squares support vector machine, singular spectrum analysis, deep belief network, and locality‐sensitive hashing
- DOI
- 10.1002/we.2425
- Published
- 2019-11-10
- Container
- Wind Energy
- Publisher
- Wiley
- Open access
- unknown
Credibility signals
serious concern Score 29/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1002/we.2425,
title = {Retracted: Forecasting model for wind power integrating least squares support vector machine, singular spectrum analysis, deep belief network, and locality‐sensitive hashing},
author = {Arslan Habib and Rabeh Abbassi and Andrés Julián Aristizábal and Abdelkader Abbassi},
year = {2019},
journal = {Wind Energy},
doi = {10.1002/we.2425},
url = {https://doi.org/10.1002/we.2425}
}RIS
TY - JOUR TI - Retracted: Forecasting model for wind power integrating least squares support vector machine, singular spectrum analysis, deep belief network, and locality‐sensitive hashing AU - Arslan Habib AU - Rabeh Abbassi AU - Andrés Julián Aristizábal AU - Abdelkader Abbassi PY - 2019 JO - Wind Energy DO - 10.1002/we.2425 UR - https://doi.org/10.1002/we.2425 ER -
APA
Habib, A., Abbassi, R., Aristizábal, A. J., & Abbassi, A. (2019). Retracted: Forecasting model for wind power integrating least squares support vector machine, singular spectrum analysis, deep belief network, and locality‐sensitive hashing. Wind Energy. https://doi.org/10.1002/we.2425
Source records
- crossref · retrieved 2026-09-24T18:02:04.760Z