A Comparative Study of Multi-Scale Hybrid Deep Learning Frameworks for Estimation of Domestic Load Demand of Pakistan's Central Region.

Bashir MY, Shakir M, Raza A, Ellahi M, Jamil M

Open source

DOI: 10.3390/s26154991
Published: 2026 Aug 6
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

Credibility signals

uncertain Score 53/100 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
supportingDirectory of Open Access Journals: A matching record was returned by DOAJ. 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:10.3390/s26154991,
  title = {A Comparative Study of Multi-Scale Hybrid Deep Learning Frameworks for Estimation of Domestic Load Demand of Pakistan's Central Region.},
  author = {Bashir MY and Shakir M and Raza A and Ellahi M and Jamil M},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26154991},
  url = {https://doi.org/10.3390/s26154991}
}

RIS

TY  - JOUR
TI  - A Comparative Study of Multi-Scale Hybrid Deep Learning Frameworks for Estimation of Domestic Load Demand of Pakistan's Central Region.
AU  - Bashir MY
AU  - Shakir M
AU  - Raza A
AU  - Ellahi M
AU  - Jamil M
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26154991
UR  - https://doi.org/10.3390/s26154991
ER  -

APA

MY, B., M, S., A, R., M, E., & M, J. (2026). A Comparative Study of Multi-Scale Hybrid Deep Learning Frameworks for Estimation of Domestic Load Demand of Pakistan's Central Region.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26154991

Source records

pubmed · retrieved 2026-11-10T09:02:03.058Z
europe-pmc · retrieved 2026-11-10T09:02:03.072Z
doaj · retrieved 2026-11-10T09:02:03.056Z