MPCPy
MPCPy serves as a robust Python package designed for implementing occupant-integrated model predictive control (MPC) in building systems. It employs data-driven, simplifi... MPCPy serves as a robust Python package designed for implementing occupant-integrated model predictive control (MPC) in building systems. It employs data-driven, simplified models to enhance predictions of building performance. With four modular components, MPCPy allows users to import data, validate models, optimize control inputs, and seamlessly interact with real or simulated systems.
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Company Information
- Company: GitHub
- Country: United States
Top MPCPy Features
- Open-source implementation
- Python-based framework
- Occupant-integrated control
- Data-driven modeling
- Simplified physical models
- Statistical performance prediction
- Real-time system interaction
- Emulated system testing
- Modular architecture
- Flexible implementation approaches
- Third-party software integration
- Optimization solvers support
- Parameter estimation algorithms
- Modelica compatibility
- FMI standard utilization
- User-contributed improvements
- Community-driven development
- Comprehensive user documentation
- Introductory tutorials available
- Active user community engagement
