Learn Load Forecasting with SAS Energy Forecasting

Understanding and predicting utility load patterns is a critical task for energy companies aiming to enhance decision-making and operational efficiency. This course focuses on SAS Energy Forecasting, a robust solution tailored for load forecasting and modeling within the energy sector. It provides participants with a comprehensive understanding of the challenges associated with utility load forecasting and the advanced methodologies SAS employs to address these challenges.

The course begins by exploring the utility load forecasting process and the types of data involved. Participants will gain insights into basic modeling and forecasting concepts while delving deeper into the specific methods utilized by SAS Energy Forecasting. One of the standout features of this solution is its ability to generate probabilistic long-term forecasts, which play a pivotal role in addressing the complexities of modern utility networks.

Another key highlight of the course is its focus on hierarchies, which are essential for modeling electric utility loads accurately. By understanding these hierarchies, participants will learn to create consistent, precise forecasts that align with different utility decision-making timeframes. Additionally, the course demonstrates how SAS Energy Forecasting simplifies the forecasting process, enabling energy companies to improve performance and reliability across their networks.

This course is designed for energy forecasting scientists and support staff. It requires no prior knowledge or experience, making it an accessible entry point for those new to load forecasting or SAS Energy Forecasting. Whether you’re looking to refine your forecasting skills or gain a deeper understanding of utility load modeling, this course is a must for professionals in the energy sector.