Abstract

This chapter explores how Artificial Intelligence can reshape net-zero cities by enabling smart infrastructure and sustainable urban development. It explains how AI-driven innovations can optimize urban systems, reduce carbon emissions, and accelerate progress toward global climate goals. Key focus areas include intelligent energy management, sustainable mobility, and resource-efficient urban planning as core elements of net-zero strategies. The chapter emphasizes the integration of modeling and simulation with AI to design, evaluate, and validate sustainable city systems. Through forecasting, optimization, and real-time analytics, planners can simulate scenarios, assess trade-offs, and implement scalable solutions. Advances in sensor data, machine learning, and reinforcement learning further support predictive maintenance and adaptive decision-making, positioning AI as a catalyst for achieving carbon-neutral cities.