Recently, data-driven Artificial Intelligence (AI) techniques are increasingly being adopted for intelligent optimization and control of power and energy systems. The system status data (e.g., temperature) are collected and used to learn an AI system for intelligent control, management, and optimization towards energy efficiency. This research makes a special focus on innovating the safety and reliability assurance for AI systems applied in the context of energy sectors, the current research of which is still at a very early stage. For example, in this project, we intend to propose an automated framework for safety issue detection of AI-enabled energy systems (e.g., power plant, power grid). We would also explore and propose novel techniques to enhance the safety and reliability of next-generation AI-enabled energy systems.
When Cyber-Physical Systems Meet AI: A Benchmark, an Evaluation, and a Way Forward