There are several technologies in the area of engineering, new and old, currently used with the objective of reducing the impacts of meteorological phenomena on electrical energy distribution networks. However, they still constitute one of the biggest challenges for companies around the world, the mitigation of the number of interruptions in the energy supply, in the face of the weather. This research work seeks something similar, which is to offer another analysis, from the point of view of data science, studying the correlation between the meteorological phenomena recorded by the Climatempo Monitoring and Alert System and the interruptions in the energy supply in two main cities of Maranhão State, with unknown causes, recorded by the control system used by the integrated operations center of the local power supplier, in an attempt to find some kind of fragility in the electrical system, not yet identified, that allows its improvement.
There are several technologies in the area of engineering, new and old, currently used with the objective of reducing the impacts of meteorological phenomena on electrical energy distribution networks. However, they still constitute one of the biggest challenges for companies around the world, the mitigation of the number of interruptions in the energy supply, in the face of the weather. This research work seeks something similar, which is to offer another analysis, from the point of view of data science, studying the correlation between the meteorological phenomena recorded by the Climatempo Monitoring and Alert System and the interruptions in the energy supply in two main cities of Maranhão State, with unknown causes, recorded by the control system used by the integrated operations center of the local power supplier, in an attempt to find some kind of fragility in the electrical system, not yet identified, that allows its improvement.