Temporal Simulations

A temporal Digital Twin — one built on time-series data — supports its own family of simulations, parallel to the static simulation types but aware of time. Where a static simulation answers a question about a single moment, a temporal simulation answers it across a horizon: not "what is the outcome?" but "how does the outcome evolve, step by step?"

The system sets a twin's type to Temporal automatically when it detects a time column during twin creation. On a temporal twin, the New Simulation picker shows the temporal family in place of the static one.

The temporal family

Type	Question it answers	Static counterpart
Forecast	How will these variables evolve over the next n steps?	Prediction
Temporal Intervention	How does a time-bounded change affect outcomes over time?	Intervention
Temporal Optimization	What actions over time best meet a goal, given constraints?	Optimization
Temporal Best Action	What is the minimum change over time needed to reach a target?	Best Action
Temporal Explanation	What time-dependent relationships drive an outcome?	Explanation
Time-Series Root Cause Analysis	What traced a specific variable to its root cause over time?	Root Cause Analysis
Time-Series Anomaly Scan & Diagnosis	Which timesteps are anomalous, and why?	Anomaly Scan & Diagnosis
Causal Health Monitor	What emerging issues should I be alerted to before they escalate?	(temporal only)

All eight are selectable from a temporal twin's New Simulation picker. Forecast has a dedicated page; for the others, Step 6: Run Simulations covers the temporal types that ship today — Forecast, Temporal Intervention, and the Causal Health Monitor. Panel time-series twins get the same family as per-environment Panel variants — Panel Forecast, Panel Intervention, Panel Optimization, Panel Best Action, Panel Explanation, Panel Root Cause Analysis, Panel Anomaly Scan & Diagnosis, and Panel Causal Health Monitor.