Two-stage transformer encoder and attention-guided GRU-based residual correction for short-term load forecasting

Radhika Chandrasekaran, Senthil Kumar Paramasivan

Open source

DOI
10.3389/frai.2026.1935983
Published
2026-10-19
Container
Frontiers in Artificial Intelligence
Publisher
Frontiers Media SA
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

Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1935983,
  title = {Two-stage transformer encoder and attention-guided GRU-based residual correction for short-term load forecasting},
  author = {Radhika Chandrasekaran and Senthil Kumar Paramasivan},
  year = {2026},
  journal = {Frontiers in Artificial Intelligence},
  doi = {10.3389/frai.2026.1935983},
  url = {https://doi.org/10.3389/frai.2026.1935983}
}

RIS

TY  - JOUR
TI  - Two-stage transformer encoder and attention-guided GRU-based residual correction for short-term load forecasting
AU  - Radhika Chandrasekaran
AU  - Senthil Kumar Paramasivan
PY  - 2026
JO  - Frontiers in Artificial Intelligence
DO  - 10.3389/frai.2026.1935983
UR  - https://doi.org/10.3389/frai.2026.1935983
ER  - 

APA

Chandrasekaran, R., & Paramasivan, S. K. (2026). Two-stage transformer encoder and attention-guided GRU-based residual correction for short-term load forecasting. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2026.1935983

Source records