AI-Driven Semiconductor Optimization for Sustainable Smart Grids

The integration of artificial intelligence (AI) and semiconductor technologies in smart grids is redefining energy efficiency, reliability, and sustainability in renewable power systems. As global electricity demand surges, AI-powered semiconductor systems are enabling real-time monitoring, predictive maintenance, and automated energy distribution. This chapter investigates how these technologies optimize grid resilience, fault detection, and demand-side management across diverse infrastructures. Adopting a mixed-method approach, including case studies and policy reviews, it illustrates the role of machine learning, edge computing, and smart sensors in enhancing energy storage and reducing carbon emissions. The findings underscore the potential of AI-optimized semiconductors to support net-zero energy goals. This research offers a strategic roadmap for stakeholders aiming to implement intelligent, sustainable, and adaptive smart grid solutions.