Adaptive reinforcement learning framework for sustainable microgrid optimization in arid urban environments
- DOI
- 10.1038/s41598-026-37752-z
- Published
- 2026-02-05
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-37752-z,
title = {Adaptive reinforcement learning framework for sustainable microgrid optimization in arid urban environments},
author = {Mohamed Ahmed Said Mohamed and Khaled Almazam and Mohammed Alzahrani and Abdulrahman Abdulaziz Majrashi and Otoma Orkaido Garo and Matusal Lamaro Lagebo},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-37752-z},
url = {https://doi.org/10.1038/s41598-026-37752-z}
}RIS
TY - JOUR TI - Adaptive reinforcement learning framework for sustainable microgrid optimization in arid urban environments AU - Mohamed Ahmed Said Mohamed AU - Khaled Almazam AU - Mohammed Alzahrani AU - Abdulrahman Abdulaziz Majrashi AU - Otoma Orkaido Garo AU - Matusal Lamaro Lagebo PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-37752-z UR - https://doi.org/10.1038/s41598-026-37752-z ER -
APA
Mohamed, M. A. S., Almazam, K., Alzahrani, M., Majrashi, A. A., Garo, O. O., & Lagebo, M. L. (2026). Adaptive reinforcement learning framework for sustainable microgrid optimization in arid urban environments. Scientific Reports. https://doi.org/10.1038/s41598-026-37752-z
Source records
- crossref · retrieved 2026-09-27T08:17:09.356Z