Sæsoninput

Sæsoninput is a term used in Danish-language data science and statistics to describe inputs that encode seasonal variation in a model or data pipeline. The concept treats seasonality as an explicit input that can influence predictions, decisions, or simulations.

Etymology: The term combines sæson, meaning season, with input, used in technical fields.

Technical usage: In time series modeling, sæsoninput can be realized as dummy variables for months or quarters, Fourier series components, or other features that capture periodic patterns. It complements trend and irregular components and can be included in regression, machine learning, or simulation models.

Applications: Sæsoninput is used in fields such as agriculture planning, energy demand forecasting, retail sales analysis, climate projections, and urban planning, where seasonal patterns affect outcomes or decisions.

Considerations: Ensure data alignment with the modeling frequency, avoid data leakage, and test for changing seasonality, as seasonality may evolve due to climate change, policy changes, or shifts in consumer behavior. Data quality and interpretability of seasonal features are important for model reliability.

Related concepts include seasonality, seasonal adjustment, and time series modeling.