Creating heat and power demand profiles from annual values.
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README.rst

The demandlib is part of the oemof group but works as a standalone application.

Introduction

With the demandlib you can create power and heat profiles for various sectors by scaling them to your desired demand. Additionally you can specify a year so that holidays are considered respectively.

Current Release

Install the demandlib using pypi:

pip install demandlib

You can also install the beta version with the most actual changes:

pip install git+https://github.com/oemof/demandlib

Developing Version

Documentation

Read the latest documentation at Readthedocs.org

http://demandlib.readthedocs.org

Installation

Clone the demandlib from github.

git clone git@github.com:oemof/demandlib.git

If the project is cloned you can install it using pip with the -e flag.

pip install -e <path/to/the/demandlib/root/dir>

Developing the demandlib

As the demandlib is part of the oemof developer group we use the same developer rules:

http://oemof.readthedocs.io/en/stable/developing_oemof.html

If you have push rights clone this repository to your local system.

git clone git@github.com:oemof/demandlib.git

If you want to contribute, fork the project at github, clone your personal fork to your system and send a pull request.

Example

We provide two examples on how to use the demandlib. One for the heat sector, executable by calling demandlib_heat_example, and one showing how to create electricity demand time series, executable by calling demandlib_power_example. Both examples are callable from anywhere in the command-line.