Note

This page is generated from inline documentation in `MESSAGE/model_solve.gms`

.

# Solve statement workflow¶

This part of the code includes the perfect-foresight, myopic and rolling-horizon model solve statements including the required accounting of investment costs beyond the model horizon.

## Perfect-foresight model¶

For the perfect foresight version of MESSAGE*ix*, include all years in the model horizon and solve the entire model.
This is the standard option; the GAMS global variable `%foresight%=0`

by default.

## Recursive-dynamic and myopic model¶

For the myopic and rolling-horizon models, loop over horizons and iteratively solve the model, keeping the decision
variables from prior periods fixed.
This option is selected by setting the GAMS global variable `%foresight%`

to a value greater than 0,
where the value represents the number of years that the model instance is considering when iterating over the periods
of the optimization horizon.

Loop over \(\hat{y} \in Y\), solving

where \(\hat{Y}(\hat{y}) = \{y \in Y | \ |\hat{y}| - |y| < optimization\_horizon \}\) and \(x_{y'}^*\) is the optimal value of \(x_{y'}\) in iteration \(|y'|\) of the iterative loop.

The advantage of this implementation is that there is no need to ‘store’ the optimal values of all decision variables in additional reporting parameters - the last model solve automatically includes the results over the entire model horizon and can be imported via the ixmp interface.