an electric arc furnace (eaf) is known as nonlinear and time variant load that causes power quality (pq) problems such as, current, voltage and current harmonics, voltage flicker, frequency changes in power system. one of the most important problems to study the eaf behavior is the choice of a suitable model for this load. hence, in this paper, a probabilistic three-phase model is proposed base...

environmental degradation and economic growth are two important proofs in sustainable developmentwhich are followed by steel industry. in this case, energy and environmental damages as sustainabilitypatterns of environment have been investigated in three different dust collectors to select the mostenvironmentally suitable dust collector for electric furnace. in this article, the consumption amo...

rapid expansions of new location-based services signify the need for finding accurate localization techniques for indoor environments. among different techniques, rss-based  schemes and in particular oneof its variants which is based on graph-based semi-supervised learning (g-ssl) are widely-used approaches the superiority of this scheme is that it has low setup/training cost and at the same ti...

In this paper we compare different evolutionary algorithm approaches and parameters used to optimize the output of neural network committee trained on regression problems. This is especially useful for large and complex datasets. We used the methodology presented in this paper to optimize the output of the committee to predict the temperature in the electric arc furnace in one of the steelworks.