Compare plans using data exported from Enedis.
You will need Python 3 as well as requests and colorama.
It can only take hourly data as input. Linky must be configured to collect data with such precision.
Pricing and off-peak times must be set accordingly. Here, they are set as an example to the current EDF pricing (the three main plans available) and Toulouse off-peak times. Find yours: EDF, Enedis.
Use config.sample.json as a template and fill in your own settings. Name your configuration file config.json. The sample configuration features what you can do: a fixed monthly subscription, multiple sets of off-peak times, three modes of calculation (simple unique pricing, standard/off-peak pricing, complex pricing involving and API), and a few other settings.
To use the RTE API, API keys must be provided. Obtain yours by signing in and creating an application.
./enedis_optimize.py Enedis_Conso_Heure_20200501-20220430_00000000000000.csv