energy-cost 0.4.0

Energy cost calculation

Energy cost

Python package to model your energy bill based on your energy consumption.

This energy bill is calculated based on a Contract or even a ContractHistory, which is a collection of contracts that can change over time. A contract consists of 5 parts:

• supplier: the Tariff of your energy supplier
• distributor: the Tariff of your energy distributor
• fees: the government fees applicable to you, als defined as a Tariff
• taxes: the government Taxes applicable to each cost component of your bill
• timezone: the timezone in which all calculations will be done

You can also specify a region, connection_type, customer_type and distributor_key in your contract, which will automatically fetch the applicable distributor tariffs, fees, taxes and timezone for you from our built in data. This is optional, but it can save you a lot of time if your region is supported.

Contracts can be defined in a yaml file, which makes it easy to manage and update your contract over time. See notebooks/contract.ipynb for more info on how to define your contract in a yaml file.

We also have more detailed documentation on the different components of a contract, see notebooks for all available notebooks. You can find example yaml files for tariffs and taxes in the examples directory.

A lot of tariffs are based on an Index, which is a price that changes over time based on the market price of energy, see notebooks/index.ipynb for more info.

Note on units: all consumption based costs are in €/MWh, all energy values are in MWh. All monetary values are in €.

Note on timezones: every method that takes timestamps as input also takes a timezone as input. All timestamps will be aligned to this timezone, and all outputs will be in this timezone as well. By default, the timezone is set by the regional data, but you can override it in your contract if needed.

Example usage

You can define your contract in a yaml file like this:

supplier:
- start: 2025-01-01T00:00:00+01:00
  consumption:
    constant_cost: 90.0
region: be_flanders
connection_type: electricity
customer_type: residential
distributor_key: fluvius_imewo

Then, you can use the Contract class to calculate your costs based on your consumption data:

from energy_cost import Contract, Meter
import pandas as pd

Contract.from_yaml("../examples/contracts/inline.yml")

consumption = Meter(
    data=pd.DataFrame(
        {
            "timestamp": pd.date_range("2024-01-01T00:00:00+01:00", "2024-03-01T00:00:00+01:00", freq="15min"),
            "value": 0.0002,
        }
    )
)

contract.apply([consumption])

For more detailed examples, see the notebooks in the notebooks directory.

Development

Prerequisites

• Python 3.12+
• uv (fast Python package manager)

1. Install dependencies

uv sync
uv tool install poethepoet

2. Notebooks

You can easilly test the project using our notebooks. They are located in the notebooks directory and can be run with:

poe notebooks

Some notebooks make use of external APIs and require API keys. You can set these in a .env file in the root of the project, using the .env.example file as a template.

If you add new features, please add a new notebook to demonstrate them.

3. Run tests

poe test

4. Code quality (pre-commit)

Pre-commit hooks are configured out of the box. Install them once:

pre-commit install

Every commit will automatically run:

Tool	Task	Command
Ruff	Linting + auto-fix	poe lint
Ruff	Formatting	poe format
ty	Type checking	poe check

You can also run them manually at any time.

License

MIT