Abstract: This paper presents a non-intrusive load monitoring (NILM) model based on two-stage mixed-integer linear programming theory. Compared with other mixed integer optimization-based models, this ...

ABSTRACT: With the development of the domestic economy and the increase in household income, the demand for investment has been growing, and funds are widely favored for their safety and flexibility.

Abstract: We develop a real-time feasible mixed-integer programming-based decision-making (MIP-DM) system for automated driving (AD). Using a linear vehicle model in a road-aligned coordinate frame, ...

Efficiently tackling complex optimization problems, ranging from global package routing to power grid management, has been a persistent challenge. Traditional methods, notably mixed-integer linear ...

Developing a minimum backbone grid in the power system planning is beneficial to improve the power system’s resilience. To obtain a minimum backbone grid, a mixed integer linear programming (MILP) ...

Linear programming is used to maximize or minimize a linear objective function subject to one or more constraints, while mixed integer programming (MIP) adds one additional condition: that at least ...

Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States Uncertainties are widespread in the optimization of process systems, such as uncertainties in process ...

I'm trying to use the setNumThreads() method trying to improve performance of a model. Whe I run setNumThreads(100) I get a response No match for threads - ? for list of commands No match for 100 - ?

A Mixed-Integer-Linear-Programming (MILP) problem, formulation, and solution for a power systems generator biding strategy. The objective function is the sum of the unit price of the MW multiplied by ...

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