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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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2022
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/155509 |
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Institution: | Nanyang Technological University |
Language: | English |