Abstract
We evaluated the building method of ANN models targeting the all air conditioning system. As the result, the finding are as follows. 1. The ANN model has high predictive accuracy, also it can predict an efficiency of equipment. 2. In the case of this system, the predictive accuracy was improved under the condition of the ANN model had 800 hidden layer nodes and more 4 steps input historical data. 3. Measured and predicted values were different when the failure occurred. It was suggested that a defect could be found by monitoring that values.
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Matsuda, Y., & Ooka, R. (2021). Development of the digital-twin for building facilities (part 2): The evaluation of ann models to simulate all air conditioning system. Journal of Environmental Engineering (Japan), 86(780), 175–183. https://doi.org/10.3130/aije.86.175
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