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Africans in general and specially Beninese’s low rate access to electricity requires efforts to set up new electricity production units. To satistfy the needs, it is therefore very important to have a prior knowledge of the electrical load. In this context, knowing the right need for the electrical energy to be extracted from the Beninese network in the long term and in order to better plan its stability and reliability, a forecast of this electrical load is then necessary. The study has used the annual power grid peak demand data from 2001 to 2020 to develop, train and validate the models. The electrical load peaks until 2030 are estimated as the output value. This article evaluates three algorithms of a method used in artificial neural networks (ANN) to predict electricity consumption, which is the Multilayer Perceptron (MLP) with backpropagation. To ensure stable and accurate predictions, an evaluation approach using mean square error (MSE) and correlation coefficient (R) has been used. The results have proved that the data predicted by the Bayesian regulation variant of the Multilayer Perceptron (MLP), is very close to the real data during the training and the learning of these algorithms. The validated model has developed high generalization capabilities with insignificant prediction deviations.

Since very little research has been published on the wet-spinning process, this article is a contribution to understanding the coagulation phenomenon. In this work, the effects of spinning parameters on the evolution of the void fraction of coarse polyamide-imide monofilaments were investigated. First of all, an experimental wet-spinning device was designed in our laboratory. Robust and reliable, this prototyping tool allows a fully automated production, ensuring the reproducibility of the different spinning tests. A four-factor Design of Experiments was built to analyze the effects and combinations between the following parameters: extrusion diameter, concentration of the coagulation bath and drawing rates applied in the coagulation bath and in the air. The results derived from a statistical analysis coupled to a scanning electron microscope study showed a highly significant influence of the concentration of solvent in the coagulation bath, concerning the evolution of the void fraction of the obtained monofilaments.

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