Define your input data accounting for forecast error and the relationships between variables.
Input known samples of the variable, historical data, or have the simulation engine dynamically generate samples from a specified distribution type.
Common applications include load, solar, wind, hydro inflows, fuel prices and temperature dependencies but practically any simulation input can be modelled this way.