Implementación de las técnicas de predicción en la generación de energía eléctrica en el sector industrial

Prediction techniques currently have great potential, through them you can obtain estimates or forecasts of future values in a reliable way, which can be used for decision making. However, industries are one of the largest consumers of electricity, so many of them use their own electric generators to be able to meet the energy demand that their processes require. But also, within this process there are problems or situations that are not beneficial, one of them, is that, if there is no monitoring and control in the generation of electrical energy in an adequate way, it will cause a great loss of monetary resources. For this reason, it is proposed to implement the prediction techniques within the power generation process to compare and select the technique that shows the best consumption forecast and thus avoid the loss of resources in the industry. Keywords: Techniques of Prediction, Energy, Decision Making, Industry.