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A novel application of the RAMP main engine for generating bottom-up stochastic electric vehicles load profiles.

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Typo and corrections implemented

I wonder how the script can be easily adapted to use a different population classification; instead of using workers, students, and inactive users classes, I want to see the simulation...

Hi, I would like to use RAMP-mobility for generating charging profiles for a vehicle fleet of a neighborhood (~100 cars). In this context it is relevant for me where the...

enhancement

A given modelled vehicle fleet is composed of different user and vehicle types. The total number of modelled vehicles (by default, 2500) is hence divided into sub-sets according to user-type...

enhancement

Hi, I was bumping into this issue: I have been generating load profiles for different numbers of cars, but I have noticed that the total amount of energy used over...

enhancement

The version number in the file VERSION.txt is 1.0, but this is not correct.

documentation

The figures in the README.md describing the workflow might not be up-to-date with the latest from the paper. It might be worth considering an update that matches the latest improvements...

documentation

Add a minimal-test to be run anytime a code change is implemented, to check if all remains fine. This shall be a condition to be met for allowing PR merge.

enhancement

The file `stochastic_process_mobility.py` grounds on the [original RAMP engine](https://github.com/RAMP-project/RAMP/blob/master/RAMP_v02-pre/stochastic_process.py). As such, it carries forward some lines of code aimed at distinguishing the off- and on-peak probability of coincident switch-on of...

enhancement