An energy-saving control strategy for multi-zone demand controlled ventilation system with data-driven model and air balancing control
A data-driven energy-saving control strategy applied to balance the multi-zone demand controlled ventilation system is presented. The proposed strategy consists of two steps: system model construction and air balancing control. Based on observed datasets, a multi-layer perceptron structure is employ...
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Main Authors: | , , , , , |
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格式: | Article |
語言: | English |
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2022
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在線閱讀: | https://hdl.handle.net/10356/155509 |
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機構: | Nanyang Technological University |
語言: | English |
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