This review paper explores the landscape of intelligent demand response strategies tailored for peak load shaving within the context of smart grids. As the complexity and interconnectedness of modern power systems continue to grow, the need for effective demand-side management becomes imperative. The paper provides a comprehensive analysis of existing literature, synthesizing insights into diverse intelligent demand response approaches employed to alleviate peak loads in smart grid environments. The review categorizes and evaluates various demand response strategies, encompassing both conventional and emerging technologies, with a specific focus on their intelligence and adaptability. Intelligent demand response mechanisms leverage advanced technologies, such as machine learning algorithms, data analytics, and predictive modeling, to dynamically optimize energy consumption patterns and reduce peak loads during periods of high demand. Key themes addressed in this review include the integration of smart meters, advanced communication infrastructures, and real-time monitoring systems to facilitate the seamless implementation of intelligent demand response strategies. The effectiveness of these strategies is assessed in terms of their impact on grid reliability, energy efficiency, and overall system resilience.