Enhancement Methods of Hydropower Unit Monitoring Data Quality Based on the Hierarchical Density-Based Spatial Clustering of Applications with a Noise-Wasserstein Slim Generative Adversarial Imputation Network with a Gradient Penalty

Fangqing Zhang, Jiang Guo, Fang Yuan, Yuanfeng Qiu, Pei Wang, Fangjuan Cheng, Yifeng Gu. Enhancement Methods of Hydropower Unit Monitoring Data Quality Based on the Hierarchical Density-Based Spatial Clustering of Applications with a Noise-Wasserstein Slim Generative Adversarial Imputation Network with a Gradient Penalty. Sensors, 24(1):118, 2024. [doi]

@article{ZhangGYQWCG24,
  title = {Enhancement Methods of Hydropower Unit Monitoring Data Quality Based on the Hierarchical Density-Based Spatial Clustering of Applications with a Noise-Wasserstein Slim Generative Adversarial Imputation Network with a Gradient Penalty},
  author = {Fangqing Zhang and Jiang Guo and Fang Yuan and Yuanfeng Qiu and Pei Wang and Fangjuan Cheng and Yifeng Gu},
  year = {2024},
  doi = {10.3390/s24010118},
  url = {https://doi.org/10.3390/s24010118},
  researchr = {https://researchr.org/publication/ZhangGYQWCG24},
  cites = {0},
  citedby = {0},
  journal = {Sensors},
  volume = {24},
  number = {1},
  pages = {118},
}