Showing 181 - 190 of 1,129
In this paper a fuzzy dynamic Nash game model of interactions between water users in a reservoir system is presented. The model represents a fuzzy stochastic non-cooperative game in which water users are grouped into four players, where each player in game chooses its individual policies to...
Persistent link: https://www.econbiz.de/10010794424
In this study, an interactive multi-stage stochastic fuzzy programming (IMSFP) approach has been developed through … incorporating an interactive fuzzy resolution (IFR) method within an inexact multi-stage stochastic programming framework. IMSFP can … processes through constructing a set of representative scenarios within a multi-stage context. A management problem in terms of …
Persistent link: https://www.econbiz.de/10010794730
Decision making about portfolio selection problem under uncertainty is very important and critical, so it is rational and necessary to use ideas of a DM who is proficient in stochastic problems. For example, the Goal Attainment Programming (GAP) is one of the methods in priori category that...
Persistent link: https://www.econbiz.de/10010691663
This paper provides a methodology to build offering curves for a concentrating solar power plant. This methodology takes into account the uncertainty in the thermal production from the solar field and the volatility of market prices. The solar plant owner is a price-taker producer that...
Persistent link: https://www.econbiz.de/10010702535
The surge in demand for electricity in recent years requires that power companies expand generation capacity sufficiently. Yet, at the same time, energy demand is subject to seasonal variations and peak-hour factors that cause it to be extremely volatile and unpredictable, thereby complicating...
Persistent link: https://www.econbiz.de/10010758718
Due to deregulations of the energy sector and the setting of targets such as the 20/20/20 in the EU, operators of public buildings are now more exposed to instantaneous (short-term) market conditions. On the other hand, they have gained the opportunity to play a more active role in securing...
Persistent link: https://www.econbiz.de/10010758720
We consider nonlinear stochastic optimization problems with probabilistic constraints. The concept of a p-efficient point of a probability distribution is used to derive equivalent problem formulations, and necessary and sufficient optimality conditions. We analyze the dual functional and its...
Persistent link: https://www.econbiz.de/10010759130
General multiperiod optimal consumption and investment problems with proportional transaction costs are investigated in this paper, a GARCH-type process is used to model the risky asset’s return series so that its time-varying moments and conditional heteroskedasticity can be properly...
Persistent link: https://www.econbiz.de/10010759147
In this paper, an interior-point based global filtering algorithm is proposed to solve linear programming problems with the right-hand-side and cost vectors being stochastic. Previous results on the limiting properties of the Kalman filtering process have been extended to handle some...
Persistent link: https://www.econbiz.de/10010759160
In this paper, we consider optimization problems under probabilistic constraints which are defined by two-sided inequalities for the underlying normally distributed random vector. As a main step for an algorithmic solution of such problems, we prove a derivative formula for (normal)...
Persistent link: https://www.econbiz.de/10010759197