BOOST applies ordinal optimization to screen microgrid design candidates with a linear model before accurate MILP evaluation, achieving 51.8% runtime reduction and recovering the optimum on synthetic benchmarks.
An efficient mixed- integer linear programming model for optimal sizing of battery energy storage in smart sustainable buildings
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BOOST: Microgrid Sizing using Ordinal Optimization
BOOST applies ordinal optimization to screen microgrid design candidates with a linear model before accurate MILP evaluation, achieving 51.8% runtime reduction and recovering the optimum on synthetic benchmarks.