Smart meter monitoring and data mining techniques for predicting refrigeration system performance
作者：
Highlights：
• Refrigeration system performance is predicted using data mining techniques and smart meter.
• Laboratory experiments are performed with different refrigerant leakage scenarios.
• Analytical results are compared based on synthetic index to determine the best models.
• The approach is effective for evaluating and optimizing refrigeration equipment performance.
摘要
•Refrigeration system performance is predicted using data mining techniques and smart meter.•Laboratory experiments are performed with different refrigerant leakage scenarios.•Analytical results are compared based on synthetic index to determine the best models.•The approach is effective for evaluating and optimizing refrigeration equipment performance.
论文关键词：Refrigeration management,Smart meter,Monitoring experiment,Data mining,Performance diagnosis
论文评审过程：Available online 17 September 2013.
论文官网地址：https://doi.org/10.1016/j.eswa.2013.09.013
