The future of power forecasting: neuromorphic-axolotl hybrid intelligence revolutionizing grid operations through bio-inspired missing data mastery.

Alhag SK, Elbaz M, Moghanm FS, Al-Shuraym LA, El-Mesery HS, Mahdi AA, Draz MM

DOI: 10.1038/s41598-026-46498-7
Published: 2026 Apr 7
Container: Scientific reports
Publisher: Not recorded
Open access: yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. 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
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-46498-7,
  title = {The future of power forecasting: neuromorphic-axolotl hybrid intelligence revolutionizing grid operations through bio-inspired missing data mastery.},
  author = {Alhag SK and Elbaz M and Moghanm FS and Al-Shuraym LA and El-Mesery HS and Mahdi AA and Draz MM},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-46498-7},
  url = {https://doi.org/10.1038/s41598-026-46498-7}
}

RIS

TY  - JOUR
TI  - The future of power forecasting: neuromorphic-axolotl hybrid intelligence revolutionizing grid operations through bio-inspired missing data mastery.
AU  - Alhag SK
AU  - Elbaz M
AU  - Moghanm FS
AU  - Al-Shuraym LA
AU  - El-Mesery HS
AU  - Mahdi AA
AU  - Draz MM
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-46498-7
UR  - https://doi.org/10.1038/s41598-026-46498-7
ER  -

APA

SK, A., M, E., FS, M., LA, A., HS, E., AA, M., & MM, D. (2026). The future of power forecasting: neuromorphic-axolotl hybrid intelligence revolutionizing grid operations through bio-inspired missing data mastery.. Scientific reports. https://doi.org/10.1038/s41598-026-46498-7

Source records

pubmed · retrieved 2026-09-25T21:01:37.664Z