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also update top level README for examples
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### ML Model creation instructions
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For these examples, we use the publicly available ["Wind Turbine Scada Dataset"](https://www.kaggle.com/datasets/berkerisen/wind-turbine-scada-dataset/data) from Kaggle. Download the dataset from [https://www.kaggle.com/datasets/berkerisen/wind-turbine-scada-dataset/data](https://www.kaggle.com/datasets/berkerisen/wind-turbine-scada-dataset/data), and store as `T1.csv` into the `data` folder.
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1. Make sure you are in your virtual environment, either ```conda activate mlfmu-examples```:
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2. To generate the FMUs, firstly run the notebooks to train the ML models and save them by running ```training_models.py```. Go into the directory of the specific model you are interested in (e.g. `wind_to_power\ml_model`):

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