Abstract
A home energy management system intended to improve the energy consumption pattern in a smart home is proposed in this research. The objective of this work is to handle the load need in an adequate manner such that, electrical energy cost and waiting time is minimized where Peak to Average Ratio (PAR) is maintained through coordination among appliances. The proposed scheme performance is assessed for PAR, user comfort and cost. This work assess the behavior of advised plan for real-time pricing and critical peak pricing schemes.
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Abbasi, R.A. et al. (2019). Minimizing Daily Cost and Maximizing User Comfort Using a New Metaheuristic Technique. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2019. Advances in Intelligent Systems and Computing, vol 927. Springer, Cham. https://doi.org/10.1007/978-3-030-15035-8_8
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DOI: https://doi.org/10.1007/978-3-030-15035-8_8
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