Abstract: The deviation settlement mechanism (DSM) scheme enforces strict regulations on microgrid operators to comply with generation commitment norms set by grid operators. These norms are essential ...
Splitting variables out is not possible when they are reused as input parameters. Sometimes code changes the type of a local if a pointer to it is passed as a out parameter. Additionally it is not ...
Abstract: This work considers the notion of random tensors and reviews some fundamental concepts in statistics when applied to a tensor based data or signal. In several engineering fields such as ...
Amid efforts to address energy consumption in modern computing systems, one promising approach takes advantage of random networks of non-linear nanoscale junctions formed by nanoparticles as ...
In recent years, neural networks have once again triggered an increased interest among researchers in the machine learning community. So-called deep neural networks model functions using a composition ...
ABSTRACT: This paper presents a new dimension reduction strategy for medium and large-scale linear programming problems. The proposed method uses a subset of the original constraints and combines two ...
Quantum annealing (QA) can be competitive to classical algorithms in optimizing continuous-variable functions when running on appropriate hardware, show researchers from Tokyo Tech. By comparing the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results