EnergySysAlt

ETHOS.FINE with MGA This repository includes an optimization model which can provide a modeling to generate alternatives (MGA) analysis to obtain alternative near optimal solutions based on the optimal solution of ETHOS.FINE framework.

Steps to follow to install fine with MGA optimization as a library

If the python Environment is created using Create Environment command in VSCode, below 3 steps are not required to run. fine library and the dependencies will be automatically installed during the Environment creation process

1. Create virtual environment with mamba
   
   mamba create -n energysysalt python=3.10

2. Activate virtual environment
   
   mamba activate energysysalt

3. Install fine library from GitHub with all the dependencies
   
   pip install git+https://github.com/lovinduw/EnergySysAlt#egg=energysysalt