Tutorials for data modeling with FIWARE

The tutorials showcase how to create data models for specific use cases and integrate these models with FIWARE-based platforms. We provide examples for:

1. Buildings automation
2. Electrical grid operation and monitoring
3. District heating

All tutorials are given in form of Jupyter Notebook. The following guideline provides instructions for setting up your environment and launching Jupyter Notebook.

Prerequisites

• Python installed on your system
• pip package manager

Setup Instructions

1. Clone this repository to your local machine:

   git clone https://github.com/N5GEH/n5geh.tutorials.data_model.git

2. Navigate to the project directory:

   cd n5geh.tutorials.data_model

3. Install the required dependencies using pip:

   pip install -r requirements.txt

Note: If you are using conda environment, you need to create a kernel for your conda environment:

python -m ipykernel install --user --name=<your_environment_name>

Launching Jupyter Notebook

1. Once the dependencies are installed, launch Jupyter Notebook by running the following command in your terminal:

   jupyter notebook

2. Your default web browser should open automatically, displaying the Jupyter Notebook dashboard.

3. Navigate to the notebook file you want to work on (e.g. use_case_specific_models.ipynb) and click on it to open.

4. You can now interact with the notebook, running cells and editing code as needed.