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- W4313482684 abstract "We present a methodology based on mixed-integer nonlinear model predictive control for a real-time building energy management system in application to a single-family house with a combined heat and power (CHP) unit. The developed strategy successfully deals with the switching behavior of the system components as well as minimum admissible operating time constraints by use of a special switch-cost-aware rounding procedure. The quality of the presented solution is evaluated in comparison to the globally optimal dynamic programming method and conventional rule-based control strategy. Based on a real-world scenario, we show that our approach is more than real-time capable while maintaining high correspondence with the globally optimal solution. We achieve an average optimality gap of 2.5% compared to 20% for a conventional control approach, and are faster and more scalable than a dynamic programming approach." @default.
- W4313482684 created "2023-01-06" @default.
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- W4313482684 date "2023-01-01" @default.
- W4313482684 modified "2023-10-01" @default.
- W4313482684 title "Mixed-Integer Real-Time Control of a Building Energy Supply System" @default.
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- W4313482684 doi "https://doi.org/10.1109/lcsys.2022.3229159" @default.
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