Data for manuscript "Capsule-Based Federated Reinforcement Learning Adaptive Sliding Mode for Anomaly Detection and Control of Floating Wind Turbines"
This dataset includes simulation outputs, supporting files, parameter tables, and auxiliary code related to the paper: "Capsule-Based Federated Reinforcement Learning Adaptive Sliding Mode for Anomaly Detection and Control of Floating Wind Turbines" with DOI: 10.1371/journal.pone.0336410.The dataset is prepared for reproducing results, plot re-filling, and parametric tests for the floating wind turbine model available in the paper. File Structure- `DataCapsuleFWT.xlsx`- Excel file containing four sheets (one table per sheet) with the following titles:1. "Appendix Table 1: General Properties"2. "Appendix Table 2: Aerodynamic Properties"3. "Appendix Table 3: Mooring Line Properties"4. "Appendix Table 4: Hydrodynamic Properties"- Note: Mathematical symbols (Greek symbols and subscripts) are included as text in the cells
Institutions
- University of Tabriz (IR)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-11-04
- DOI
- https://doi.org/10.5281/zenodo.17519490
- Primary Topic
- Wave and Wind Energy Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00