Scientific Publications

Download 

As a generalization of the successful hidden Markov models, Dynamic Bayesian Networks (DBNs) are a natural basis for the general temporal action interpretation task. This document provides a conditional probabilistic approach to analyze the energy availability in electrical distribution networks by using Bayesian networks (BN). Firstly a static BN modelling is presented to show the influence of the switch behaviour on the energy availability. Then, the dynamic behaviour of the switch is cared by switch reliability modelling using DBN which permits to predict the energy availability. The prediction by DBNs discussed in the case study of this paper gives a strong contribution on electrical network supervisory control and it can also be applied to transportation networks.

Item Type	Journal
Divisions	» Faculty of Science and Technology
ePrint ID	395
Date Deposited	2015-07-30
Further Information	Google Scholar
URI	https://univ-soukahras.dz/en/publication/article/395

@article{uniusa395,
    title={Availability Assessment of Electric Power based on Switch Reliability Modelling with Dynamic Bayesian Networks: Case Study of Electrical Distribution Networks},
    author={Abdelaziz LAKEHAL and Zine Ghemari},
    journal={Journal of Mathematics and System Science}
    year={2015},
    volume={5},
    number={7},
    pages={289-295},
    publisher={David Publishing Company}
}