  ACN-Sim is a data-driven, open-source simulation environment designed to
accelerate research in the field of smart electric vehicle (EV) charging. It
fills the need in this community for a widely available, realistic simulation
environment in which researchers can evaluate algorithms and test assumptions.
ACN-Sim provides a modular, extensible architecture, which models the
complexity of real charging systems, including battery charging behavior and
unbalanced three-phase infrastructure. It also integrates with a broader
ecosystem of research tools. These include ACN-Data, an open dataset of EV
charging sessions, which provides realistic simulation scenarios and ACN-Live,
a framework for field-testing charging algorithms. It also integrates with grid
simulators like MATPOWER, PandaPower and OpenDSS, and OpenAI Gym for training
reinforcement learning agents.
