%0 Generic
%A Solomatine, Dimitri
%A Abraham, Edo
%A Koo, Ja-Ho
%A Jonoski, Andreja
%D 2025
%T Code underlying: Balancing Operator’s Risk Averseness in Model Predictive Control for Real-time Reservoir Flood Control.
%U 
%R 10.4121/9a6a0464-2981-470a-8d7a-48c7e7fff27d.v1
%K MPC
%K Model Predictive Control
%K Dynamic Weight
%K Flood control
%K Reservoirs
%X <p>Python codes for the parameterized dynamic MPC implementation.</p><p>Inflow data is collected from the Data portal managed by Korean government.</p><p>PDMPC main is the python file to run the PDMPC, and other files are for the function or class using in main.py.</p><p>Formulation.py contains only linear MPC formulation by Pyomo. Evaluator.py includes python functions to evaluate the linear MPC results.</p>
%I 4TU.ResearchData