Speech Title and Abstract

Deployment and Application of Key Technologies in AI-Enabled Smart Grids

• In a highly electrified society, power reliability and availability requirements continue to rise. In critical applications such as the semiconductor industry and data centers, any power interruption or quality issue can cause downtime, data loss, and significant operational risks. Therefore, analyzing power disturbances and proactively predicting faults is essential for grid stability and risk reduction.
• By deploying AI technologies in smart grids, systems can analyze disturbances and aging, identify potential anomalies, and forecast faults and loss risks. This enables preventive maintenance, reduces fault impact, and improves energy efficiency and sustainability. For critical facilities, it also strengthens risk management and operational continuity.
• This presentation explains how ABB uses AI-based predictive technologies in smart grids for disturbance analysis, fault forecasting, and loss detection. It covers (i) data preprocessing and feature selection, (ii) AI analysis and predictive models, and (iii) interactive graphical user interface design, helping users understand results and explore data efficiently while improving stability, operational efficiency, and energy savings in critical applications.