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A Model-Based Predictive Control Approach for Home Energy Management Systems. First Results

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WITS 2020

Abstract

The use of renewable energies in buildings are a needed solution to decrease the overall energy consumption. In countries such as Portugal and Morocco, this is translated in the use of Photovoltaic systems, and, hopefully, Energy storage systems. This paper presents a simplified Model-Based Predictive Control (MBPC) approach for a Home Energy Management System of a residence in the region of Algarve, Portugal. Simulation results show that MBPC achieves considerable savings in the use of electricity obtained from the grid, as well as economic savings.

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Acknowledgements

The authors would like to acknowledge the support of Programa Operacional Portugal 2020 and Operational Program CRESC Algarve 2020 grant 01/SAICT/2018. Antonio Ruano also acknowledges the support of Fundação para a Ciência e Tecnologia grant UID/EMS/50022/2020, through IDMEC, under LAETA.

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Correspondence to Hamid Qassemi .

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Ruano, A., Qassemi, H., Habou Laouali, I., Marzouq, M., Fadili, H.E., Dosse, S.B. (2022). A Model-Based Predictive Control Approach for Home Energy Management Systems. First Results. In: Bennani, S., Lakhrissi, Y., Khaissidi, G., Mansouri, A., Khamlichi, Y. (eds) WITS 2020. Lecture Notes in Electrical Engineering, vol 745. Springer, Singapore. https://doi.org/10.1007/978-981-33-6893-4_67

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  • DOI: https://doi.org/10.1007/978-981-33-6893-4_67

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  • Print ISBN: 978-981-33-6892-7

  • Online ISBN: 978-981-33-6893-4

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