Predicting the Future of Heritage Conservation for Sustainable Resource Allocation
Keywords:
energy consumption, waste management, forecasting, resource utilizationAbstract
Efficient resource management plays a pivotal role in safeguarding heritage sites, promoting sustainability, and enhancing visitor experiences. This research paper explores the transformative potential of predictive analytics and AI algorithms in optimizing resource allocation within heritage sites. By harnessing AI's capabilities, this study investigates how predictive analytics can revolutionize the management of visitor flows, energy consumption patterns, and waste management requirements. Through accurate forecasting of these critical factors, heritage site managers can proactively optimize resource utilization, reduce waste generation, and mitigate environmental impact.
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