Triple Exponential Smoothing, also known as Holt-Winters method, is a forecasting technique that extends exponential smoothing to capture seasonality in time series data. It involves three smoothing equations to account for level, trend, and seasonal components, making it highly effective for datasets with seasonal patterns and trends.