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
See also: energy production, algorithm development, desktop and web deployment