Trustworthy AI in Smart Grid Systems

As smart grids increasingly rely on AI for energy distribution, demand forecasting, and fault detection, the trustworthiness of these systems becomes critical to their successful deployment and public acceptance. Ensuring responsible decision-making involves protecting sensitive consumer and operational data, building models using ethically sourced and representative data, and developing explainable models that promote transparency, accountability, and user engagement. This chapter addresses the foundations of ethical AI and the challenges it presents in today’s smart grid systems, examines the challenges of identifying and mitigating bias in AI models used in critical infrastructure, explores the importance of fairness in these systems and strategies to ensure it, and provides an overview of predictive maintenance with trustful AI in smart grid environments.