Forecasting Offshore wind Reductions in Cost of Energy
| Version: | 1.0.0 |
|---|---|
| Authors: | Jake Nunemaker, Matt Shields, Philipp Beiter |
- Clone the repository.
- Create a new conda environment.
conda create --name force python=3.9 - Activate the new environment.
- Install FORCE with the setup script.
pip install -e .
- numpy
- pandas
- scipy
- matplotlib
- pandas
- pyyaml
- xlsxwriter
- orbit-nrel
- Jupyter Lab
This project was designed using the 4C Project Database. As this is a paid
subscription, this dataset is not included in this repo. If you are a 4C
customer and have access to the project dataset, it can be placed in the
analysis/data/ folder and be used for the regression analysis. Please don't
commit this file to the repo.
If you do not have access to this dataset, a template file is provided that can
be filled out with other project data and used with this package. This template
is located at analysis/data/project_list_template.csv. Note: Not all columns
in the template are required but FORCE can be configured to use them in the
regression analysis.