This hands-on workshop is open to those who attended the Electric Load Forecasting: Fundamentals and Best Practices course. This course includes lecture and hands-on lab exercises that explore advanced topics in electric load forecasting.
perform time series cross validation
select weather stations
detect outliers and cleanse data
use comprehensive temperature information
Who Can Benefit
Load/price forecasters, energy traders, quantitative/business analysts in the utility industry, power system planners, power system operators, load research analysts, and rate design analysts
Before attending this course, you must attend the Electric Load Forecasting: Fundamentals and Best Practices course.
Out of Sample Tests
Weather Station Selection
two fundamental questions
a common method
unconstrained weather station selection
Outlier Detection and Data Cleansing
definitions of outlier
a modeling approach to outlier detection and data cleansing
More about Recency Effect
how many lagged temperatures can we afford?
"optimal" combination of lagged and average temperatures
https://www.exitcertified.com/training/sas/advanced-analytics/forecasting-econometrics/electric-load-forcast-39047-detail.htmlBELFADVElectric Load Forecasting: Advanced Topics and Case Studieshttps://assets.exitcertified.com/assets/CourseImages/0b00c2bf0a/AdobeStock_112581843__FitMaxWzEwMDAsMTAwMF0.jpg825.00USDInStock/Training/SAS/Advanced Analytics/Forecasting and EconometricsThis hands-on workshop is open to those who attended the Electric Load Forecasting: Fundamentals and Best Practices course. This...825.00SASClassroom2015-06-15T15:34:27+00:00USD