The methods, meanwhile, included the baseline ARIMA model, six deep learning methods (HTM, LSTM, LSTM AutoEncoder, MAD-GAN, Microsoft Azure Anomaly Detector, and Amazon DeepAR), and TadGAN itself.

The algorithm was described in the study “Anomaly detection using K-Means and long-short term memory for predictive maintenance of large-scale solar (LSS) photovoltaic plant,” which was ...

Tokyo Japan, May. 25, 2022 – . LeapMind Co., Ltd., today announced a new Deep Learning model “Efficiera Anomaly Detection model” based on its ultra-low power consumption AI inference accelerator IP ...