From Load Forecasting to Demand Response
Duration: 75 minutes
This 75-minute lecture introduces couple of advanced load forecasting models and the basic concepts of demand response. The paticipants learn how to use lagged regression to model recency effect, to reduce autocorrelated errors, and to quantify energy savings due to demand response.
Guest lecture at NC State University:
3/27/2012 Thursday 11:05am - 12:20pm, EB2 1220 Lecture presentation
4/19/2011 Thursday 11:05am - 12:20pm, EB2 1021 Lecture presentation
A 30-minute version was presented at IEEE PESGM2012.
"On the Impact of Demand Response: load shedding, energy conservation, and further implications to load forecasting", 2012 IEEE PES General Meeting, San Diego, CA, July 19-22, 2012 download presentation slides (PDF) download paper (PDF)