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SoftCPS REC Simulator: an energy-community RL simulator fork focused on EV/BESS/PV, electrical-service constraints, and community-market experimentation.

Project description

SoftCPS REC Simulator

softcpsrecsimulator is a simulation framework maintained by the SoftCPS Research Group for energy-community studies with reinforcement learning.

It is a fork-based project used for research and experimentation on:

  • electric vehicles (EVs) and chargers,
  • stationary batteries (BESS),
  • photovoltaic generation (PV),
  • electrical-service constraints (single/three-phase),
  • local community market settlement and KPI analysis.

Project Positioning

This package is a fork project built from the CityLearn codebase and extended for SoftCPS REC simulation needs.

Installation

pip install softcpsrecsimulator

Python Usage

For compatibility with existing ecosystems, the Python module path currently remains:

from citylearn.citylearn import CityLearnEnv

Source and Documentation

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