Portuguese researchers have compared several applied machine learning techniques to detect faults in air-to-air heat pumps in cooling mode. The results showed a high level of performance based on four metrics. A Portuguese research team has compared several applied machine learning techniques to perform fault detection in air-to-air heat pumps in cooling mode and has identified four algorithms showing a high level of performance based on the metrics of accuracy, precision, recall, and F1 score, which is a key figure used to measure the performance of classifications. The steep growth in the deployment ...Den vollständigen Artikel lesen ...
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