Synthetic household load profiles for Simona
simonaMarkovLoad generates realistic, synthetic household load curves for the Simona simulation environment. It uses time-inhomogeneous Markov chains to model when state transitions occur and Gaussian Mixture Models to determine how much load is drawn within each state.
- Discretization of 15-minute consumption values into 10 states
- Bucket concept (month, weekend flag, time of day) for time-dependent transition matrices
- Laplace-smoothed Markov transition matrix per bucket
- GMM fitting per bucket and state with automatic component selection via BIC
- Parallel training with
joblib - Export synthetic profiles as CSV or integrate directly into Simona API
- Python ≥ 3.10
- Poetry installed
pip install poetry- or, preferably, via pipx:
pipx install poetry
git clone https://github.com/ie3-institute/simonaMarkovLoad
cd simonamarkovload# Install all dependencies (including dev-dependencies)
poetry install
# Install and activate the pre-commit hooks
poetry run setupCheck the format by hand poetry run pre-commit run --all-files
If you have any questions, feel free to reach out to:
- Philipp Schmelter ✉️ philipp.schmelter@tu-dortmund.de