Development of Performance Prediction Model for Water Source Heat Pump System based on Artificial Neural Network

KIEAE Journal ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 99-104
Author(s):  
Sangmu Bae ◽  
Young Sik Kwon ◽  
Jin Woo Moon ◽  
Yujin Nam
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Prediction Model ◽  
Heat Pump ◽  
Performance Prediction ◽  
Water Source ◽  
Pump System ◽  
Heat Pump System ◽  
Artificial Neural

scholarly journals Machine-Learning-Based Coefficient of Performance Prediction Model for Heat Pump Systems

2021 ◽  
Vol 12 (1) ◽  
pp. 362
Author(s):  
Ji-Hyun Shin ◽  
Young-Hum Cho
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Artificial Neural Network ◽  
Prediction Model ◽  
Heat Pump ◽  
Nearest Neighbor ◽  
K Nearest Neighbor ◽  
Pump System ◽  
Heat Pump System ◽  
Artificial Neural

In a heat pump system, performance is an important indicator that should be monitored for system optimization, fault diagnosis, and operational efficiency improvement. Real-time performance measurement and monitoring during heat pump operation is difficult because expensive performance measurement devices or additional installation of various monitoring sensors required for performance calculation are required. When using a data-based machine-learning model, it is possible to predict and monitor performance by finding the relationship between input and output values through an existing sensor. In this study, the performance prediction model of the air-cooled heat pump system was developed and verified using artificial neural network, support vector machine, random forest, and K-nearest neighbor model. The operation data of the heat pump system installed in the university laboratory was measured and a prediction model for each machine-learning stage was developed. The mean bias error analysis is −3.6 for artificial neural network, −5 for artificial neural network, −7.7 for random forest, and −8.3 for K-nearest neighbor. The artificial neural network model with the highest accuracy and the shortest calculation time among the developed prediction models was applied to the Building Automation System to enable real-time performance monitoring and to confirm the field applicability of the developed model.

scholarly journals Performance Prediction Model Based on Multi-Task Learning and Co-Evolutionary Strategy for Ground Source Heat Pump System

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 117925-117933
Author(s):  
Zhaoyi Zhuang ◽  
Chen Wei ◽  
Bing Li ◽  
Peng Xu ◽  
Yifei Guo ◽  
...  
Keyword(s):  
Prediction Model ◽  
Heat Pump ◽  
Performance Prediction ◽  
Evolutionary Strategy ◽  
Ground Source Heat Pump ◽  
Pump System ◽  
Heat Pump System ◽  
Model Based ◽  
Task Learning ◽  
Ground Source
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