The electric arc furnaces are a very large power load, determining the negative effects on the power quality (harmonics currents, unbalanced load, and reactive power). For a maximum efficiency of the power consumption it is necessary to use an automat system for control the harmonics filters, the reactive power compensation installation and the electrodes position, in order to obtain a high val...

The electric arc furnaces are a very large power load, determining the negative effects on the power quality (harmonics currents, unbalanced load, and reactive power). For a maximum efficiency of the power consumption it is necessary to use an automat system of electrodes position control, in order to obtain a high value of power factor and a maximum efficiency. In this paper is present an adap...

This paper presents a neural network tree regression system with dynamic optimization of input variable transformations and post-training optimization. The decision tree consists of MLP neural networks, which optimize the split points and at the leaf level predict final outputs. The system is designed for regression problems of big and complex datasets. It was applied to the problem of steel te...

This paper analyzes how feasible it is to use electric arc furnace slag as coarse aggregate, and blast furnace dust as fine aggregate in the manufacture of hot asphalt concrete for roads. Three mixtures were designed using the Ramcodes methodology, the M1 mixture of control with conventional materials, the M2 mixture replacing 50% and the M3 mixture replacing 100% of the conventional aggregates...