This course is one of multiple planned courses related to SAS Energy Forecasting, and the focus is on load forecasting and modeling concepts. The purpose of this course is to provide an overview of the utility load forecasting challenge, the details of the forecasts and modeling in SAS Energy Forecasting, and the specific features relevant to the industry, such as probabilistic long-term forecasts and multiple types of hierarchies needed in the modeling of electric utility loads.The course does not cover solution details such as the solution data model, solution user interface, implementation and delivery, or working in SAS Viya. The primary objective of this course is to provide students with a deeper understanding of utility load forecasting and modeling concepts involved in the different utility decisioning time frames.
Learn how to
- Understand the forecasting process and the data used in load modeling and forecasting.
- Learn basic modeling and forecasting concepts and the specific methods used in SAS Energy Forecasting.
- Understand how SAS Energy Forecasting makes it easier for the utility customer to have consistent, more accurate forecasts and improve performance in forecasting the load of large utility networks.
Who should attend
Energy Forecasting scientists and support staff
The course has no prerequisites.
The course is based on the use of the SAS Energy Forecasting solution.
