A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
The Power Consumption Model of Chiller with Elman Neural Networks for On-line Prediction and Control
Abstract In this paper, a new steady-state power consumption model using the Elman Neural Network (ENN) is proposed. The model is dependent on the external parameters of chiller, which are easily monitored and which are related to the global optimization of an air-conditioning water system. The simulation results show that the model can complete the training process within 3 s. In addition, it can be seen that the results of the model are in good agreement with the experimental values with the majority of the RE values within ±3%. Therefore, this model is suitable for on-line prediction of the power consumption of chiller in on-field engineering.
The Power Consumption Model of Chiller with Elman Neural Networks for On-line Prediction and Control
Abstract In this paper, a new steady-state power consumption model using the Elman Neural Network (ENN) is proposed. The model is dependent on the external parameters of chiller, which are easily monitored and which are related to the global optimization of an air-conditioning water system. The simulation results show that the model can complete the training process within 3 s. In addition, it can be seen that the results of the model are in good agreement with the experimental values with the majority of the RE values within ±3%. Therefore, this model is suitable for on-line prediction of the power consumption of chiller in on-field engineering.
The Power Consumption Model of Chiller with Elman Neural Networks for On-line Prediction and Control
Jia, Zhiyang (author) / Zhao, Tianyi (author)
2019-01-01
9 pages
Article/Chapter (Book)
Electronic Resource
English
Sequencing of chillers by estimating chiller power consumption using artificial neural networks
| British Library Online Contents | 2007