Python program to estimate daily power costs using the SolisManagerExecutionHistory.csv file

[dqj999]

I've created a Python program that estimates daily power costs using the SolisManagerExecutionHistory.csv file. You can find it the code here https://github.com/dqj999/Cost

It was created for use with the Octopus Intelligent Go tariff, but should work for other tariffs as well.

It enables me to work out how much power I am using at the lower rate and what the balance of cost is between low rate, high rate and exported power. You can then check your bills at a later date for any major discrepancies.

It is only a rough guide for several reasons:

1. The power consumption figures and rate information used only have 2 decimal places leading to inaccuracies in the calculated cost.
2. Standing charges are not accounted for
3. Daytime car charging sessions on Intelligent Go may have the wrong price recorded as the notification system from Octopus seems somewhat unreliable

[Webreaper]

This is great - thank you!