Creating a business‑as‑usual forecast
Generate a Business‑As‑Usual (BAU) emissions trajectory by combining locked actuals with modeled forecasts, forming the baseline against which all targets and programs are assessed.
About this task
- Univariate forecast
- A univariate forecast predicts the future values of a single variable based on historical data, using the Holt-Winters model.
- Multivariate forecast
- A multivariate forecast takes into consideration multiple external, time-dependent variables to improve prediction accuracy. It uses one of two models, vector auto-regressive (VAR) and auto-regressive integrated moving average (ARIMAX). Note that neither multivariate models are seasonal. The univariate forecasting method suits highly seasonal data better.
Review the Forecasting documentation for more guidance on forecasting capabilities within IBM Planning Analytics.
