Sample average approximation for risk-averse problems: A virtual power plant scheduling application
Type
PreprintKAUST Department
Academic AffairsApplied Mathematics and Computational Science Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Earth Fluid Modeling and Prediction Group
Earth Science and Engineering Program
Office of the VP
Physical Science and Engineering (PSE) Division
Permanent link to this record
http://hdl.handle.net/10754/662722