Search
Now showing items 1-10 of 53
Study of stochastic resonance in hierarchical IF neural networks
Probabilistic Congestion Management Considering Power System Uncertainties Using Chance-constrained Programming
In this article, a new model for stochastic congestion management considering system uncertainties has been developed. The model utilizes chance-constrained programming to propose the stochastic formulation for the congestion management problem...
Stochastic congestion management considering power system uncertainties: a chance-constrained programming approach
based on chance-constrained programming (CCP). In the proposed approach, transmission constraints are taken into account by stochastic, instead of deterministic, models. The proposed approach considers network uncertainties with a specific level...
Chance Order of Two Uncertain Random Variables
the chance order and study some of its basic properties. We then apply the results to order the lifetime of the k-out-of-n systems when the lifetimes of some components of the system are random variables while the others are uncertain variables. It is worth...
Stochastic congestion management considering power system uncertainties: a chance-constrained programming approach
, considering power system uncertainties based on the chance constrained programming (CCP). In the proposed approach, transmission constraints are taken into account by stochastic models instead of deterministic models. The proposed approach considers network...