ETRM (Energy Trading and Risk Management)

Streamline the development of ETRM applications

ETRM involves developing and adapting models to manage energy assets and build commodity trading strategies. These ETRM applications help analysts respond to changing demands and operational constraints. MATLAB^® lets you perform critical ETRM tasks, including:

• Importing and visualizing energy data from multiple sources
• Building predictive models of energy time-series data
• Running Monte-Carlo simulations for valuation and risk assessment
• Optimizing physical generation and storage assets
• Deploying energy trading and risk management applications on enterprise systems

Examples and How To

• ETRM with MATLAB (Webinar)
• ETRM (MATLAB Central File)
• Horizon Wind Energy Develops Revenue Forecasting and Risk Analysis Tools for Wind Farms (User Story)
• RWE Develops and Deploys an Automated System for Natural Gas and Power Trading and Risk Management (User Story)
• Gas Natural Fenosa Predicts Energy Supply and Demand Using MathWorks Tools (User Story)

Software Reference

• Curve Fitting Toolbox^™ (Product Details)
• Econometrics Toolbox^™ (Product Details)
• MATLAB Compiler^™ (Product Details)
• Statistics Toolbox^™ (Product Details)

See also: energy production, algorithm development, desktop and web deployment, load forecasting, wind resource assessment, seismic data processing