load forecasting -凯发k8网页登录

power companies rely on accurate electricity load forecasting to minimize financial risk and optimize operational efficiency and reliability.

critical load forecasting tasks include:

• 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

for details on performing these tasks in a single modeling environment, see matlab^®.