Accelerating the pace of engineering and science
Load Forecasting |
Develop and deploy algorithms for accurate electricity load forecasting
Power companies rely on accurate electricity load forecasting to minimize financial risk and optimize operational efficiency and reliability. MATLAB® enables you to work in a single modeling environment to perform critical load forecasting tasks, including:
- Automating data access from regional wholesale electricity markets.
- Customizing models using nonlinear regression, nonparametric, and neural network techniques
- Calibrating models with historical predictors such as weather, seasonality, load, fuel price, and power price
- Deploying and integrating load forecasting algorithms into enterprise systems
Examples and How To
- Electricity Load Forecasting and Price Forecasting with MATLAB (Webinar)
- Electricity Load Forecasting and Price Forecasting (MATLAB Central Files)
- Deploying Applications with MATLAB 2:00 (Video)
- Gas Natural Fenosa Predicts Energy Supply and Demand Using MathWorks Tools (User Story)
Software Reference
- Database Toolbox™ (Product Details)
- MATLAB Compiler™ (Product Details)
- Neural Network Toolbox™ (Product Details)
- Statistics Toolbox™ (Product Details)
See also: energy production, algorithm development, desktop and web deployment
