2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC) 2015
DOI: 10.1109/eeeic.2015.7165215
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Hybrid model predictive control for optimal energy management of a smart house

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Cited by 10 publications
(10 citation statements)
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“…However, after about 45 hours and with a relatively low value of SoC, the controller decides to draw energy from the grid: this is probably due to a predicted violation of the lower bound on SoC in case the battery were used. In case of colder days, the controller would instead impose frequent changes in the value of u grid , as shown in the simulations in [26]. The distribution of the computation times needed to solve (20) is shown in the histogram in Fig.…”
Section: Resultsmentioning
confidence: 99%
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“…However, after about 45 hours and with a relatively low value of SoC, the controller decides to draw energy from the grid: this is probably due to a predicted violation of the lower bound on SoC in case the battery were used. In case of colder days, the controller would instead impose frequent changes in the value of u grid , as shown in the simulations in [26]. The distribution of the computation times needed to solve (20) is shown in the histogram in Fig.…”
Section: Resultsmentioning
confidence: 99%
“…The proposed MPC control law was first tested in simulation on the nominal model of the smart house, using real data for the time evolution of the disturbance vector d. Preliminary simulation results were presented in [26], in which u res was a binary signal, and the actual future evolution of d was used instead of the forecast in the MPC problem. In this work, the control system is tested on the actual experimental site, which also implies the use of weather forecast.…”
Section: Resultsmentioning
confidence: 99%
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