Wind Power Forecasting with a LSTM RNN model.
The EuropeWindFarm data set containing the day-ahead forecasts of 45 wind farms (off- and onshore) scattered over the European continent as shown in Fig. 6. The data set contains hourly averaged wind power generation time series for two consecutive years and the corresponding day-ahead meteorological forecasts using the European Centre for Medium-Range Weather Forecasts (ECMWF) weather model.
- Keras
- Pandas
- NumPy
- matplotlib
- EDA
- Models
- python
- git
- markdown
- Scikit-learn
- Scipy
- Numpy
- Pandas
- Matplotlib
- Seaborn
- Andrew Nachtigal
This project is licensed under the MIT License - see the LICENSE.md file for details
- Data Science Retreat