Real-time congestion control using cascaded LSTM deep neural networks for deregulated power markets.
- DOI
- 10.1038/s41598-025-14640-6
- Published
- 2025 Aug 20
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-14640-6,
title = {Real-time congestion control using cascaded LSTM deep neural networks for deregulated power markets.},
author = {Mohan GM and Kumar TA and Srujana A and Fouad Y and Mikhaylov A and Kitmo and Reddy CR},
year = {2025},
journal = {Scientific reports},
doi = {10.1038/s41598-025-14640-6},
url = {https://doi.org/10.1038/s41598-025-14640-6}
}RIS
TY - JOUR TI - Real-time congestion control using cascaded LSTM deep neural networks for deregulated power markets. AU - Mohan GM AU - Kumar TA AU - Srujana A AU - Fouad Y AU - Mikhaylov A AU - Kitmo AU - Reddy CR PY - 2025 JO - Scientific reports DO - 10.1038/s41598-025-14640-6 UR - https://doi.org/10.1038/s41598-025-14640-6 ER -
APA
GM, M., TA, K., A, S., Y, F., A, M., Kitmo, & CR, R. (2025). Real-time congestion control using cascaded LSTM deep neural networks for deregulated power markets.. Scientific reports. https://doi.org/10.1038/s41598-025-14640-6
Source records
- pubmed · retrieved 2026-09-26T03:53:09.350Z