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Electricity accounts for a large proportion of operating costs. Therefore, controlling and monitoring the energy consumed is important for improving the quality of energy use and minimizing losses. This task is most convenient for supervisory systems using wireless sensor networks, which need to operate in an industrial environment, exposed to low-frequency radiation from industrial substations and medium-voltage electrical fields. The aim of this work is to carry out load shedding defined by a genetic algorithm and, using a wireless sensor network and a supervisory system, to optimize production even with limited energy consumption.…mehr

Produktbeschreibung
Electricity accounts for a large proportion of operating costs. Therefore, controlling and monitoring the energy consumed is important for improving the quality of energy use and minimizing losses. This task is most convenient for supervisory systems using wireless sensor networks, which need to operate in an industrial environment, exposed to low-frequency radiation from industrial substations and medium-voltage electrical fields. The aim of this work is to carry out load shedding defined by a genetic algorithm and, using a wireless sensor network and a supervisory system, to optimize production even with limited energy consumption.
Autorenporträt
He has a degree in Electrical and Electronic Engineering with an emphasis on Telecommunications from the National Telecommunications Institute (1990). Master's degree in Electrical Engineering from UFSJ in the area of Systems Modeling and Control. He is currently Full Professor at Centro Universitário do Sul de Minas and Coordinator of the Electrical Engineering course.