Time Series Decomposition

Time series decomposition separates a signal into its components: trend, seasonal pattern, and residuals. This helps to understand the underlying structure of the data.

Recipes

• Long-Term Decomposition — Decompose multi-year heating or energy data into yearly seasonality and trend

• Short-Term Decomposition — Decompose shorter time periods to reveal daily or weekly patterns