various machine learning and less complex methods to predict the energy demand of buildings at the second transformer level. Cluster and signal forecasting.
see the final functions at groupGenMethods.py
relevant data available at https://drive.google.com/drive/folders/1EyXAZGrhqUzsV4l5ggHDcbvTwmHyfP0N?usp=sharing
Sample PDFs for functionality:
- fiveParamClusteringExample.pdf
- frequencyClusteringExample.pdf
- lowDimClusteringExample.pdf
The easiest way to leverage this is the notebook using the final functions in the notebook:
- Grouping&GeneratingFlorezRodriguez.ipynb
Note: the aThesis... files are checkpoints in the path of finishing a project for school. These will not likely have the most functional, documented, and intuitive code. Stick to Grouping&GeneratingFlorezRodriguez.ipynb notebook and demo PDFs.