BATTERY PERFORMANCE MONITORING AND OPTIMIZATION

Examples of systems and methods for monitoring and optimizing battery performance for a site are disclosed. In an example, sensor data pertaining to the site may be obtained. Based on the sensor data and historical data of the site, one or more anomaly events is predicted by a first machine learning model (). The one or more anomaly events may further be classified into critical event and non-critical event. In case of the critical events, one or more commands may be sent to an edge device () installed at the site to perform corrective actions.