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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Bibliographic Details
Main Authors: Jing, Gang, Cai, Wenjian, Zhang, Xin, Cui, Can, Liu, Hongwu, Wang, Cheng
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/155509
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Institution: Nanyang Technological University
Language: English

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