Code underlying: Balancing Operator’s Risk Averseness in Model Predictive Control for Real-time Reservoir Flood Control.

Python codes for the parameterized dynamic MPC implementation.Inflow data is collected from the Data portal managed by Korean government.PDMPC main is the python file to run the PDMPC, and other files are for the function or class using in main.py.Formulation.py contains only linear MPC formulation by Pyomo. Evaluator.py includes python functions to evaluate the linear MPC results.本项目包含用于实现参数化动态模型预测控制（Model Predictive Control，MPC）的Python代码。入流数据采集自韩国政府管理的数据门户平台。PDMPC主脚本为执行参数化动态模型预测控制的核心Python文件，其余文件均为供main.py调用的自定义函数与类。Formulation.py仅包含基于Pyomo库构建的线性MPC建模代码。Evaluator.py则封装了用于评估线性MPC运行效果的Python函数。