Energy Trading and Risk Management (ETRM)
With MATLAB, you can simplify and automate your energy trading and risk management (ETRM) tasks like importing and visualizing energy data from multiple sources; developing predictive demand, price, and revenue forecasting models using machine learning; and running Monte Carlo simulations for valuation and risk assessment.
Deploy your forecast models to enterprise resource planning (ERP) and cloud systems, and connect them to regional wholesale electricity markets, meteorological data, and other data streaming services. The MATLAB API allows you to pick the best language or platform for each part of your workflow. You can call MATLAB algorithms from other programs like Python® and Excel®, and deploy these models on enterprise systems like Power BI, Cloudera®, and Hadoop®.
Energy Management Systems (EMS)
Grid modernization has rapidly increased power system complexity with variable generation assets, such as wind and solar, and added new controllable systems, such as energy storage and grid-scale batteries. Use Model-Based Design to develop energy management systems (EMS) that combine prediction, forecasting, and optimization techniques.
Use MATLAB and Simulink to build data-driven and physics-based models; model and simulate equipment performance; design algorithms to optimally control equipment; and deploy algorithms onto embedded and enterprise systems.