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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS)
Ezzitouni Jarmouni
Laboratory of Radiation-Matter and Instrumentation (RMI)
Control & Systems Engineering Electrical & Electronics Engineering

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Energy management system and supervision in a micro-grid using artificial neural network technique Ezzitouni Jarmouni; Ahmed Mouhsen; Mohammed Lamhammedi; Hicham Ouldzira
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 12, No 4: December 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v12.i4.pp2570-2579

Abstract

Nowadays, the combination of conventional and renewable energy sources such as solar energy is one of the most widespread solutions to surmount the challenge of the climate and energy crisis. In the presence of random behavior of photovoltaic systems and variable power demand by consumers, energy management is a real challenge. In this paper, we propose a new energy management technique based on artificial neural networks in a smart grid. This will ensure the continuous supply of electricity to the consumer in the presence of random operation in energy consumption and generation. The global system is modeled and simulated under the MATLAB/Simulink tool.
Co-Authors Ahmed Mouhsen Hicham Ouldzira Mohammed Lamhammedi