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jrbailey1977 / water-utility-demand-response

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Python optimization framework for municipal water utility demand response. Models a three-facility system (GWTP, WWTP, lift station) as a triple-battery against ERCOT day-ahead prices using MILP (Pyomo/GLPK) and NMPC (do-mpc/CasADi/Ipopt). ENG 573 Capstone, UIUC MEng Energy Systems, Spring 2026.

python optimization milp pyomo water-utility demand-response nmpc energy-systems ercot do-mpc smart-scheduling
  • Updated May 1, 2026
  • Python

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