Marmot is a data formatting and visualization tool for production cost and capacity expansion modelling results. It provides an efficient way to analysis data by combing temporally disaggregated results and allowing the aggregation of different device types and modelling regions.
Marmot currently supports analysis of PLEXOS production costs modelling and ReEDS capacity expansion results.
For detailed Installation Instruction see the docs at: https://nrel.github.io/Marmot/get-started/install.html
To install the latest version
git clone --recurse-submodules https://github.com/NREL/Marmot.git
(Make sure to include --recurse-submodules
else h5plexos will not be included correctly)
Marmot includes a conda environment for linux users and requirements.txt file to ensure all dependencies are available. Users are advised to begin by trying the requirements.txt as current best practice.
The official documentation is hosted on github-pages: https://nrel.github.io/Marmot
Work on Marmot
started at the National Renewable Energy Laboratory NREL (A national laboratory of the U.S. Department of Energy) in 2019 and
has been under active development since then.
View formatted contents: In order to check the contents of an existing processed HDF5 file, type the following in a Python terminal or workspace:
import pandas as pd
temp=pd.HDFStore("path to formatted hdf5 file")
temp.keys()
temp.close()