mixed-integer non-linear programming
Also known as: MINP, MINLP, mixed-integer non-linear programming, mixed integer nonlinear programming
Facts (12)
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A comprehensive overview on demand side energy management ... link.springer.com Mar 13, 2023 9 facts
referenceDeterministic methods used in energy management to reduce electricity consumption include linear programming (LP), nonlinear programming (NLP), gradient base (GB), Lagrangian algorithms, Lagrange–Newton, interior point method, Lyapunov techniques, and mixed integer nonlinear programming (MINP).
claimMixed integer nonlinear programming (MINLP) is unable to regulate some appliances due to consumers' unexpected, impulsive, non-linear, and complex energy usage behaviors.
referenceDeterministic methods used in energy management to reduce electricity consumption include Linear Programming (LP) (Erol-Kantarci and Mouftah 2011; Zhu et al. 2012), Nonlinear Programming (NLP) (Althaher et al. 2015), Gradient Base (GB) (Huang et al. 2015), Lagrangian algorithms (Boyd; Gatsis and Giannakis 2011), Lagrange–Newton (Dong et al. 2012), Interior Point Method (Samadi et al. 2012), Lyapunov techniques (Guo et al. 2012), and Mixed Integer Nonlinear Programming (MINP) (Behrangrad et al. 2010).
claimIn the context of energy management optimization, MINLP stands for Mixed integer nonlinear programming.
claimWang et al. (2012) developed an ideal dispatching model for smart Home Energy Management Systems (HEMS) with distributed energy resources and smart home appliances using the mixed integer nonlinear programming (MINLP) methodology, which decreases both electricity costs and total energy usage.
referenceAlipour M, Zare K, and Abapour M published the study 'MINLP probabilistic scheduling model for demand response programs integrated energy hubs' in the IEEE Transactions on Industrial Informatics in 2017.
claimWang et al. (2012) developed an ideal dispatching model for a smart Home Energy Management System (HEMS) using Mixed Integer Nonlinear Programming (MINLP) to reduce electricity costs and total energy consumption.
claimMixed Integer Nonlinear Programming (MINLP) models may fail to regulate certain appliances due to the complex, non-linear, and impulsive nature of consumer energy usage behaviors.
claimAlipour M, Zare K, and Abapour M developed a mixed-integer non-linear programming (MINLP) probabilistic scheduling model for demand response programs integrated into energy hubs in 2017.
Comprehensive framework for smart residential demand side ... nature.com Mar 22, 2025 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.