rolling horizon optimization
Posted: Sat Mar 21, 2020 11:58 pm
I want to implement a rolling horizon optimization in gams.
In the considered system, updated forecasted data over a prediction horizon are provided periodically and input to the model to update the decisions.
So, I consider at each rolling horizon iteration, a submodel optimization problem to solve over the prediction horizon with the current forecasted data. Then, the results from the submodel optimization will be stored into a file which will be used for the next iteration and updated for the coming iterations.
At this stage, I don't know how to code this method in gams.
Can someone help me?
In the considered system, updated forecasted data over a prediction horizon are provided periodically and input to the model to update the decisions.
So, I consider at each rolling horizon iteration, a submodel optimization problem to solve over the prediction horizon with the current forecasted data. Then, the results from the submodel optimization will be stored into a file which will be used for the next iteration and updated for the coming iterations.
At this stage, I don't know how to code this method in gams.
Can someone help me?