SMART TOURISM: INTEGRATING AI AND RENEWABLE ENERGY FOR IMPROVED VISITOR EXPERIENCE AND CAPACITY MANAGEMENT IN TOURIST ATTRACTIONS

Abstract

The integration of Artificial Intelligence (AI) and renewable energy, particularly solar power, is transforming the tourism industry, paving the way for "Smart Tourism." This research investigates how AI-driven systems, combined with renewable energy solutions, can significantly improve visitor experience and optimize capacity management at tourist attractions. Leveraging advanced predictive analytics, AI systems can forecast visitor trends, dynamically manage reservations, and adjust capacities based on real-time and historical data. This approach helps address the challenges posed by seasonal fluctuations in visitor attendance, ensuring efficient crowd management, reduced wait times, and improved visitor satisfaction. In addition to enhancing operational efficiency, this study emphasizes the role of renewable energy in promoting sustainable tourism. By utilizing solar power to meet the energy demands of AI-based systems, attractions can reduce their carbon footprint and align with eco-friendly tourism practices. The paper further explores the technical aspects of integrating AI with solar-powered infrastructure, discussing potential challenges such as energy storage, system scalability, and the cost-effectiveness of deploying such systems in diverse geographic locations. The research highlights the impact of Smart Tourism not only on optimizing capacity and improving visitor experiences but also on contributing to environmental conservation. Through case studies and simulation models, the paper demonstrates how AI and solar energy integration can serve as a blueprint for modern tourist attractions, offering a sustainable and intelligent solution to meet the growing demands of the global tourism industry. This holistic approach represents the future of tourism management, balancing technological innovation with environmental responsibility.