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- W1557687422 abstract "Coordinating different components in a complex air conditioning system is challenging for centralized controls due to the large number of optimization variables. In this scenario, de-centralized controls are more appropriate alternatives. This study proposes a multi-agent control methodology for the optimal control of centralized air conditioning systems that are typically adopted in multi-zone commercial buildings. A hierarchical multi-agent framework is developed in which the agents cooperate to find the optimal operating point. Two consensus-based distributed optimization algorithms are formulated for this specific type of problem, which form the underlying mechanism of intra-agent optimization and inter-agent cooperation. Finally, a 3-zone building case study is used to demonstrate the performance of the proposed approach." @default.
- W1557687422 created "2016-06-24" @default.
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- W1557687422 date "2015-07-01" @default.
- W1557687422 modified "2023-10-03" @default.
- W1557687422 title "Multi-agent control for centralized air conditioning systems serving multi-zone buildings" @default.
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- W1557687422 doi "https://doi.org/10.1109/acc.2015.7170862" @default.
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