Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
A research team has developed a machine learning–based quantitative structure–activity relationship (ML-QSAR) method to ...
Abstract: Distribution network reconfiguration can help enhance grid flexibility and promote integration of distributed renewable generation. However, achieving rapid and accurate solutions for ...
Abstract: This paper presents a nonlinear model predictive control (NMPC) scheme based on sequential convex programming (SCP). We propose a modified SCP algorithm for nonlinear MPC that adaptively ...
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