Complex Time Series Decomposition and Forecasting Framework

Create an advanced time series analysis framework in Excel that can decompose complex time series data into trend, seasonal, and residual components. The model should support multiple decomposition methods (additive and multiplicative), generate sophisticated forecasting algorithms including Holt-Winters exponential smoothing, and provide comprehensive visualization of each component. Include automatic anomaly detection, confidence interval calculations, and an interactive dashboard that allows users to adjust forecasting parameters in real-time.