Advanced Rate Limiting with Predictive Capacity Planning

Create a sophisticated rate limiting middleware that goes beyond simple request counting, incorporating machine learning-driven predictive capacity planning. Develop a system that can dynamically adjust rate limits based on historical usage patterns, current system load, and predictive scaling recommendations. Implement adaptive throttling mechanisms that provide intelligent backoff strategies and can automatically provision additional resources during peak loads.