@inproceedings{5f9de397c5814c8ea17608c5ce5ffc32,
title = "Digital twin-enabled Power Optimizer for Multi-span Transmission System Using Autoencoder",
abstract = "A digital twin-enabled technique is proposed for multi-span system to build a neural network-based power prediction model and an autoencoder-based power optimization model achieve flexible output spectrum profile control.",
author = "Shengnan Li and Danshi Wang and Yuchen Song and Qirui Fan and Min Zhang and Chao Lu and {Tao Lau}, {Alan Pak}",
note = "Funding Information: Acknowledgement: This work was supported in National Natural Science Foundation of China (No. 61871415, 61975020), Fund of State Key Laboratory of IPOC (No. IPOC2020ZT05). We would like to acknowledge Metodi P. Yankov et al from Technical University of Denmark for the shared experimental data in this research work. Publisher Copyright: {\textcopyright} 2021 OSA.; 2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 ; Conference date: 06-06-2021 Through 11-06-2021",
year = "2021",
month = jun,
language = "English",
series = "2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings",
}