Multi-Model Identification of HVAC System

نویسندگان

چکیده

Heat, ventilation and air conditioning (HVAC) is a crucial system for maintaining acceptable quality keeping the building its occupants healthy. There are some challenges in controlling identifying this as it commonly operates different operation conditions. Furthermore, various types of un-controlled sources disturb steady operations. In addition, an HVAC inherently nonlinear varies with time. As result, conventional methods not successful system. This paper proposes new multi-model approach which clustering regression steps performed simultaneously to tackle problem. Cost functions combined optimized using iterative algorithm. After local models, gap metric based used develop global model process. The proposed tested on simulated unit real-world dataset. results show performance method

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ژورنال

عنوان ژورنال: Applied sciences

سال: 2021

ISSN: ['2076-3417']

DOI: https://doi.org/10.3390/app11020668