Optimized wind power prediction and energy storage scheduling using genetic algorithm and backpropagation neural network

Peng Wu, Zongze Li

Open source

DOI: 10.61435/ijred.2025.60434
Published: 2024-12-06
Container: International Journal of Renewable Energy Development
Publisher: Center of Biomass and Renewable Energy Scientia Academy
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. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
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. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
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. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.61435/ijred.2025.60434,
  title = {Optimized wind power prediction and energy storage scheduling using genetic algorithm and backpropagation neural network},
  author = {Peng Wu and Zongze Li},
  year = {2024},
  journal = {International Journal of Renewable Energy Development},
  doi = {10.61435/ijred.2025.60434},
  url = {https://doi.org/10.61435/ijred.2025.60434}
}

RIS

TY  - JOUR
TI  - Optimized wind power prediction and energy storage scheduling using genetic algorithm and backpropagation neural network
AU  - Peng Wu
AU  - Zongze Li
PY  - 2024
JO  - International Journal of Renewable Energy Development
DO  - 10.61435/ijred.2025.60434
UR  - https://doi.org/10.61435/ijred.2025.60434
ER  -

APA

Wu, P., & Li, Z. (2024). Optimized wind power prediction and energy storage scheduling using genetic algorithm and backpropagation neural network. International Journal of Renewable Energy Development. https://doi.org/10.61435/ijred.2025.60434

Source records

crossref · retrieved 2026-11-10T09:24:41.375Z