Wireless Sensor Networks
ARIMA (AutoRegressive Integrated Moving Average) models are statistical tools used for analyzing and forecasting time series data. They are particularly useful in understanding patterns in datasets where values are dependent on their past values and when trends or seasonality may be present. ARIMA models help in predictive maintenance by providing insights into expected future behavior based on historical data, and they also play a critical role in anomaly detection by highlighting deviations from expected patterns.
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