ClimateEdge: a lightweight weather-augmented LSTM framework for real-time demand response in climate-stressed smart grids

Harsha Kumar A, Venkatesan Murugan, Dhanalakshmi R, Sahaya Beni Prathiba, Suria R. Asai

Open source

DOI: 10.3389/frai.2026.1918025
Published: 2026-10-21
Container: Frontiers in Artificial Intelligence
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1918025,
  title = {ClimateEdge: a lightweight weather-augmented LSTM framework for real-time demand response in climate-stressed smart grids},
  author = {Harsha Kumar A and Venkatesan Murugan and Dhanalakshmi R and Sahaya Beni Prathiba and Suria R. Asai},
  year = {2026},
  journal = {Frontiers in Artificial Intelligence},
  doi = {10.3389/frai.2026.1918025},
  url = {https://doi.org/10.3389/frai.2026.1918025}
}

RIS

TY  - JOUR
TI  - ClimateEdge: a lightweight weather-augmented LSTM framework for real-time demand response in climate-stressed smart grids
AU  - Harsha Kumar A
AU  - Venkatesan Murugan
AU  - Dhanalakshmi R
AU  - Sahaya Beni Prathiba
AU  - Suria R. Asai
PY  - 2026
JO  - Frontiers in Artificial Intelligence
DO  - 10.3389/frai.2026.1918025
UR  - https://doi.org/10.3389/frai.2026.1918025
ER  -

APA

A, H. K., Murugan, V., R, D., Prathiba, S. B., & Asai, S. R. (2026). ClimateEdge: a lightweight weather-augmented LSTM framework for real-time demand response in climate-stressed smart grids. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2026.1918025

Source records

crossref · retrieved 2026-11-08T21:59:28.626Z