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

Description

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.

Steps to reproduce

Aquí tienes una versión mejorada, más profesional y estructurada para tu documentación. He refinado el lenguaje para que sea más claro y directo. *** ### Prerequisites Before proceeding, ensure you have **Anaconda** or **Miniconda** installed on your system. ### Environment Setup and Execution Follow these steps to configure your workspace and run the project: 1. **Open your Terminal:** Launch the **Anaconda Prompt** (Windows) or your system terminal (macOS/Linux). 2. **Navigate to the Directory:** Change to the folder containing the `turbinas.yaml` file: ```bash cd path/to/your/folder ``` 3. **Create the Environment:** Initialize the environment using the provided configuration file: ```bash conda env create -f turbinas.yaml ``` 4. **Activate the Environment:** Switch to the newly created environment: ```bash conda activate turbinas ``` 5. **Register the Kernel:** Configure the environment as a selectable kernel for Jupyter: ```bash python -m ipykernel install --user --name turbinas --display-name "Python (turbinas)" ``` 6. **Start Jupyter:** Launch the notebook server: ```bash jupyter notebook ``` 7. **Select the Kernel:** * In your browser, navigate to the **"Experiment - Spain"** folder and open your desired `.ipynb` notebook. * From the top menu, navigate to **Kernel > Change kernel**. * Select **"Python (turbinas)"** from the list to ensure the correct dependencies are loaded. You are now ready to execute the notebooks within the configured environment.

Institutions

• CUNEF Universidad

  Madrid, Madrid
• Universidad Complutense de Madrid

  Madrid, Madrid

Categories

Licence