@article{4402,
  author = {Fei Li},
  title = {Signal Optimization and Control Strategy for New Energy Hy- brid Power Generation System Based on Deep Learning},
  journal = {Signals and Telecommunication Journal},
  year = {2025},
  volume = {14},
  number = {1},
  doi = {https://doi.org/10.6025/stj/2025/14/1/1-8},
  url = {https://www.dline.info/stj/fulltext/v14n1/stjv14n1_1.pdf},
  abstract = {By combining various renewable energy sources, new hybrid power generation technologies can significantly
improve energy utilization efficiency and reduce environmental impact. However, due to the uncertainty and
intermittent nature of this technology, signal optimization and control become particularly important. In this
study, we use advanced techniques to enhance the performance of hybrid power generation systems. Our
work involves utilizing deep learning to analyze and predict various factors, thereby finding the optimal
operating mode. The conclusions of this work will have a positive impact on future energy management and
dispatching. Additionally, the methods proposed in this article can provide valuable references for research in
other related fields.},
}