Finance and Asset Management
As the implementation of smart grids increases, so does the quantity and variety of SCADA events. To transform the huge amount of data into information, big data algorithms need to be integrated into a SCADA system. Integrating these algorithms is a growing trend that facilitates prompt decision-making and problem detection. This presentation will illustrate the benefits of integrating real-time data analytics into a SCADA system. It will show how data analytic methods, Key Performance Index (KPI) matrices, weather information, and historical patterns, can improve a plant’s operational performance. It will also cover various methodologies for energy prediction and anomaly detection, based on machine learning and deep learning algorithms. Real-life scenarios, using dashboards, alarms, and reports, will further explain how data analytics can be used to detect operational issues and which solutions best resolve these issues.