ISBN: 9786207392896 - power demand control based on supervisory systems and wsns: energy demand control based on supervisory systems and wireless sensor networks (5 risultati)

Taschenbuch. Condizione: Neu. Power Demand Control Based on Supervisory Systems and WSNs | Energy Demand Control Based on Supervisory Systems and Wireless Sensor Networks | Eduardo Henrique Ferroni (u. a.) | Taschenbuch | Englisch | 2024 | Our Knowledge Publishing | EAN 9786207392896 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 92 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ferroni Eduardo HenriqueHe 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.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch.…