Remanufacturing, a crucial step of reverse logistics, focuses on restoring or enhancing the
functionality of waste products. The challenge in planning an effective remanufacturing …

In this paper, a series of heteroatom doping graphite felt electrodes are prepared by simple
precursor impregnation and heat treatment, their application properties as electrode …

This research employs the Random Forest Machine Learning model to predict electricity
consumption and detect anomalies in electrical networks. Addressing the energy sector's …

Electricity demand forecasting stands as a paramount factor in the operation and strategic
planning of energy production and distribution systems. This article aims to present the …

In life testing and reliability studies, most of the researchers used the maximum likelihood
estimation method to estimate the unknown parameters. Although it is proven that the …

Este artigo foca na importância da compreensão das emissões de dióxido de carbono
equivalente (CO2e) no estado do Amazonas, destacando as potenciais implicações para …