Dataset: Risk-Informed Siting and O&M Routing for Floating Offshore Wind

This dataset provides a comprehensive benchmark for floating offshore wind (FOW) deployment, integrating multi-layer GIS spatial constraints, metocean-driven performance indicators, and structural fatigue metrics for the Spanish coastal area. It includes leakage-safe machine learning surrogates for predictive analytics and a hybrid metaheuristic optimization framework for operation and maintenance (O&M) routing under variable environmental conditions.

本数据集为西班牙沿海区域的漂浮式海上风电（Floating Offshore Wind, FOW）部署提供了一套综合基准测试集，整合了多层地理信息系统（Geographic Information System, GIS）空间约束、海洋气象驱动的性能指标与结构疲劳指标。其包含用于预测分析的无数据泄漏机器学习代理模型，以及面向可变环境下运维（Operation and Maintenance, O&M）路径规划的混合元启发式优化框架。