Review of adaptive decomposition-based data preprocessing for renewable generation rich power system applications

Satyabrata Das, B Rajanarayan Prusty, Kishore Bingi

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DOI: 10.1063/5.0070140
Published: 2021-11-01
Container: Journal of Renewable and Sustainable Energy
Publisher: AIP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1063/5.0070140,
  title = {Review of adaptive decomposition-based data preprocessing for renewable generation rich power system applications},
  author = {Satyabrata Das and B Rajanarayan Prusty and Kishore Bingi},
  year = {2021},
  journal = {Journal of Renewable and Sustainable Energy},
  doi = {10.1063/5.0070140},
  url = {https://doi.org/10.1063/5.0070140}
}

RIS

TY  - JOUR
TI  - Review of adaptive decomposition-based data preprocessing for renewable generation rich power system applications
AU  - Satyabrata Das
AU  - B Rajanarayan Prusty
AU  - Kishore Bingi
PY  - 2021
JO  - Journal of Renewable and Sustainable Energy
DO  - 10.1063/5.0070140
UR  - https://doi.org/10.1063/5.0070140
ER  -

APA

Das, S., Prusty, B. R., & Bingi, K. (2021). Review of adaptive decomposition-based data preprocessing for renewable generation rich power system applications. Journal of Renewable and Sustainable Energy. https://doi.org/10.1063/5.0070140

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crossref · retrieved 2026-11-03T06:56:52.437Z