TY - DATA
T1 - Code underlying: Balancing Operator’s Risk Averseness in Model Predictive Control for Real-time Reservoir Flood Control.
PY - 2025/02/05
AU - Dimitri Solomatine
AU - Edo Abraham
AU - Ja-Ho Koo
AU - Andreja Jonoski
UR - 
DO - 10.4121/9a6a0464-2981-470a-8d7a-48c7e7fff27d.v1
KW - MPC
KW - Model Predictive Control
KW - Dynamic Weight
KW - Flood control
KW - Reservoirs
N2 - <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>
ER -