Explainable deep learning for multi-country energy forecasting and sustainability analysis using climate and socio-economic indicators.
- DOI
- 10.1038/s41598-026-62451-0
- Published
- 2026 Jul 15
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-62451-0,
title = {Explainable deep learning for multi-country energy forecasting and sustainability analysis using climate and socio-economic indicators.},
author = {Ahmad S and Althobaiti T and Saleem MS and Rashid J and Hussain S and Gawbah H},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-62451-0},
url = {https://doi.org/10.1038/s41598-026-62451-0}
}RIS
TY - JOUR TI - Explainable deep learning for multi-country energy forecasting and sustainability analysis using climate and socio-economic indicators. AU - Ahmad S AU - Althobaiti T AU - Saleem MS AU - Rashid J AU - Hussain S AU - Gawbah H PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-62451-0 UR - https://doi.org/10.1038/s41598-026-62451-0 ER -
APA
S, A., T, A., MS, S., J, R., S, H., & H, G. (2026). Explainable deep learning for multi-country energy forecasting and sustainability analysis using climate and socio-economic indicators.. Scientific reports. https://doi.org/10.1038/s41598-026-62451-0
Source records
- pubmed · retrieved 2026-09-26T02:12:05.556Z