A conditional value-at-risk (CVaR) based inexact two-stage stochastic programming (CITSP) model was developed in this study for supporting water resources allocation problems under uncertainty. A CITSP model was formulated through incorporating a CVaR constraint into an inexact two-stage...

A new aerodynamic model, PANROM, of horizontal axis wind turbine (HAWT), which couples 3D Panel Method and Reduced Order Model (ROM) based on Proper Orthogonal Decomposition (POD), is presented in this paper. By integrating the characters of the two different numerical methods, the PANROM model...

A traveling-wave thermoacoustic electric generator, which is composed of a traveling wave thermoacoustic engine and linear alternators, is promising in solar power generation and energy recovery due to its high efficiency, high reliability, and capability of utilizing low-grade heat. An...

In this study, an interval-parameter minimax regret programming (IMRP) method is developed for supporting the power management systems planning under uncertainty. This method incorporates techniques of interval linear programming (ILP) and minimax regret programming (MRP) within a general...

In this study, a multistage stochastic inexact chance-constraint programming (MSICCP) model is developed for power supply management under uncertainties. In the MSICCP model, methods of multistage stochastic programming (MSP), interval-parameter programming (IPP), and chance-constraint...

In this paper we axiomatically characterize two recursive procedures for defining a social group.The first procedure starts with the set of all individuals who define themselves as members of the social group, while the starting point of the second procedure is the set of all individuals who are...

A number of authors have proposed theories of efficiency wages to explain the behaviour of aggregate labor markets. According to these theories, firms do not adjust wages downwards despite available unemployed job seekers, because lower wages would induce hired workers to shirk more often, which...