Optimal Design and Operation of Power Systems with Large Shares of Renewable Energy
Power systems with large shares of renewable power will also need better hour-by-hour forecasts for these resources. In the second part of this seminar I will discuss research which shows that forecast models can be improved significantly if they are trained using asymmetrical cost functions, reflecting the high cost of a generation shortfall relative to the lower cost of keeping excess reserves online.
Speaker: Matthias Fripp, Univ of Hawaii
Monday, 02/06/17
Contact:
Website: Click to VisitCost:
FreeSave this Event:
iCalendarGoogle Calendar
Yahoo! Calendar
Windows Live Calendar
Green Earth Sciences Building
367 Panama St, Room 104
Stanford University
Stanford, CA 94305
Stanford University
Stanford, CA 94305
Website: Click to Visit
