load-forecasts
Simple project for using weather data to forecast loads
MIT License
Stars
4
Committers
2
Ecosystems:
Jupyter Notebook
Load Forecasting Experiments
This project is used to develop simple load forecasting models and apps.
- For an introduction to load forecasting see Introduction to Load Forecasting
- For an introduction to this repo see the 5min video introduction here.
If you just want to play around with the nodebooks and code you can do so via Binder.
- Panel App: https://mybinder.org/v2/gh/MarcSkovMadsen/load-forecasts/HEAD?urlpath=/panel/app (Does not work currently)
You should start from the notebooks/overview.ipynb notebook.
The ERCOT data is proprietary and you would need access to the ERCOT data in order to ingest this data.
Installation
Using conda
conda env create -f environment.yml
conda activate load-forecasts
Notebooks
You can now run
jupyter lab
and open the notebooks/overview.ipynb notebook.
App
You can run the app via
panel serve notebooks/app.py --show
Development
Before you git push please clean the notebooks via
jupyter nbconvert --clear-output --inplace notebooks/*.ipynb
For app development with hot reload use
panel serve notebooks/app.py --auto --show
Badges
Extracted from project README
