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Author:
Institute for Automation of Complex Power Systems (ACS),E.ON Energy Research Center (E.ON ERC),RWTH Aachen University
License:
MIT
Summary:
A Python framework for the development, testing, and assessment of optimization-basedpower scheduling algorithms for multi-energy systems in city districts
Latest version:
1.4.4
Required dependencies:
gurobipy
|
matplotlib
|
numpy
|
pandas
|
psutil
|
pyarrow
|
pycity-base
|
pyomo
|
ray
|
scikit-learn
Optional dependencies:
mpi4py
|
pytest
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