MATLAB and Simulink for Building Energy Management

Perform power system analysis and energy management system design

building energy management

With MATLAB and Simulink, you can design smart and efficient energy management systems (EMS) by implementing dynamic policies, incorporating real-time data, and increasing the level of automation in EMS operations. You can use MATLAB and Simulink for your EMS development workflow, from data access and modeling to optimization and deployment.

  • Create forecasting models on electricity demand and generation, electricity price, and weather conditions
  • Model, simulate, and design optimal EMS control strategies for scheduling power systems and HVAC systems operations
  • Generate code for supervisory controls on edge devices and deploy to embedded controllers
  • Deploy operations optimization software to production cloud environments

Building EMS Energy Forecasting

With MATLAB and Simulink, you can perform data-driven forecasts on environmental and techno-economic factors to optimize operations of your building energy management system.

  • Access time-series data from files or databases
  • Perform data preprocessing, analysis, and visualization in MATLAB with interactive apps and workflow automations
  • Choose from prebuilt statistical, econometric, or machine learning and deep learning models
  • Train forecasting models in parallel and evaluate model performance
  • Directly integrate the trained energy forecasting model in Simulink for simulation with the physical system model

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Building EMS Modeling, Simulation, and Optimization

You can use MATLAB and Simulink as a design environment for electrical system modeling, EMS control design, and EMS optimization.

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Building EMS Validation and Deployment

You can validate your building EMS design by generating code from your system model, which lets you move quickly from desktop simulation to real-time simulation. You can deploy controls to the edge and operational management systems to the cloud.