DEVINE is a SLAC project studying + demonstrating the impact of electric vehicle integration in non-residential environments.
The first analytic piece of the project studied transformer aging in a parking lot of workplace EV charging. The code from this analysis is captured in 'Transformer_Aging', including some of the plotting scripts used to create the results shown in the paper. This is mainly the work of Siobhan Powell.
The market / economic / demand response piece of analysis in DEVINE will be contained in 'Demand_Response_Analytics'. This is mainly the work of Michaela Levine.
The EVSE / charging station modeling piece of analysis in DEVINE is partly contained in 'EVSE_Modeling'. This is mainly the work of Owen Ahlborn.
After you are done with changes in your .ipynb run this command in one of the cells:
!jupyter nbconvert --to script FILENAME.ipynb
where FILENAME is the name of your notebook/lab file. Push both files, .ipynb and .py.