Intelligent Time Series Forecasting Framework

Design a robust Excel forecasting framework that combines multiple predictive algorithms including exponential smoothing, ARIMA, and machine learning regression techniques. The model should automatically select the most appropriate forecasting method based on historical data characteristics, provide confidence interval visualizations, and support both short-term and long-term projection scenarios. Include advanced error metrics and automated model performance evaluation.