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residential demand side management ↔ nonlinear programming

Relations (1)

related 2.00 — strongly supporting 3 facts

Nonlinear programming is utilized as a mathematical optimization technique to solve the complex, nonlinear formulations inherent in residential demand side management problems, as described in [1], [2], and [3].

Facts (3)

Sources
Comprehensive framework for smart residential demand side ... nature.com Nature 3 facts
claimNonlinear programming (LP) and mixed integer nonlinear programming (MINLP) optimizations are applied to the nonlinear mathematical formulation of the Residential Demand Side Management (RDSM) problem, though they involve higher computational complexity compared to linear models.
claimNonlinear programming (LP) and mixed integer nonlinear programming (MINLP) optimizations are applied to the nonlinear mathematical formulation of Residential Demand Side Management (RDSM) problems.
claimNonlinear programming (LP) and mixed integer nonlinear programming (MINLP) optimizations are applied to the nonlinear mathematical formulation of Residential Demand Side Management (RDSM) problems.