Download the NEM12 file from your electricity network provider,

then you run

./analysis_power.py -f /path/to/CITIPOWER_DETAILED.csv -d 20230217:20240216 -c tariffEV.cfg

the date there is the last 12 months.

this will output something like:

period is 2023-07-04 00:00:00 to 2024-07-04 23:59:59 inclusive
total amount of days:  {'B1': 367, 'E1': 367}
Total for meter E1 tariff 1 15034.808 kWh -> $ 2133.44
Total for meter E1 tariff 2 5060.587 kWh -> $ 1441.76
E1 total E1 is 20095.4 kWh $ 3575.2
E1 average usage per day 54.756
E1 average cost per day $ 9.74

number of days in period 367
daily charge $ 528.847
Total export solar $ 1775.45
Total cost $ 2328.6

B1 for me is the solar export meter, modify config file accordingly. E1 is the usage meter. tariff 1 is off-peak 2: peak 3: should 4: super off-peak 5: free period if any

The important bit is creating a config file, there's two tables: workday and weekend (I first wrote this tool in 2010 when the charges was weekday vs weekend)

electricity is charged per 30 minutes window, set the tariff type for each window.

For a plain peak/off-peak check the tariffGloBird.cfg ; you only need to enter daily pricing, peak and off-peak price (in cents)

  "daily": 99,
  "pricing": [13.2, 24.31, 0, 0, 0],

this define a daily pricing of 99c off-peak of 13.2.2 peak of 24.31