Abstract

Focus is on techniques to solve large scale nonlinear programs, subject to uncertainty, emanating from electric power systems resource planning by utilizing a combined nested Benders decomposition, high speed importance sampling and parallel processing.

  Funding Agency

Agency
National Science Foundation (NSF)
Institute
Division of Civil, Mechanical, and Manufacturing Innovation (CMMI)
Type
Standard Grant (Standard)
Application #
8814253
Program Officer
Kevin I. Sewell
Project Start
Project End
Budget Start
1989-04-15
Budget End
1990-09-30
Support Year
Fiscal Year
1988
Total Cost
$50,000
Indirect Cost

  Institution

Name
Stanford University
Department
Type
DUNS #
City
Palo Alto
State
CA
Country
United States
Zip Code
94304