One Day Ahead Hourly Load Forecasting
Duration: 75 minutes
This 75-minute lecture introduces one day ahead hourly load forecasting. The objectives are to let the participants taste the flavor of load forecasting and understand the basic concepts of short term load forecasting. The paticipants learn how to discover salient features of electric load series using graphic methods, capture the salient features using regression models, build regression models using SAS Enterprise Guide, and develop a naive model for one day ahead load forecasting.
Guest lecture at NC State University:
3/22/2012 Thursday 11:05am - 12:20pm, EB2 1220 Lecture presentation
3/31/2011 Thursday 11:05am - 12:20pm, EB2 1021 Lecture presentation