Data-driven consumer-phase identification in low-voltage distribution networks considering prosumers
Knowing the correct phase connectivity information plays a significant role in maintaining high-quality power and reliable electricity supply to end-consumers. However, managing the consumer-phase ...
Abstract: With the reform of the power system further deepening, the reliance on electricity and importance attached to the reliable power supply are increasing year by year, and the establishment of ...
FICO Xpress 9.8 features a GPU-accelerated implementation of the hybrid gradient algorithm, yielding up to 50x speedups for very large optimization problems FICO Xpress Optimization has the widest ...
HiGHS is a high performance serial and parallel solver for large scale sparse linear optimization problems of the form $$ \min \quad \dfrac{1}{2}x^TQx + c^Tx \qquad \textrm{s.t.}~ \quad L \leq Ax \leq ...
This paper presents a novel approach to the joint optimization of job scheduling and data allocation in grid computing environments. We formulate this joint optimization problem as a mixed integer ...
Prior to SageMath 9.1, CPLEXBackend was available as part of the SageMath source tree, from which it would be built as an "optional extension" if the proprietary ...
Sai is a singer-songwriter from India with a passion for gaming and tech. His music has been featured on Rolling Stone, Rock Street Journal, Indie Music Diaries, and more. Ask ten gamers about their ...
Advances in novel hardware devices and architectures allow Spiking Neural Network (SNN) evaluation using ultra-low power, mixed-signal, memristor crossbar arrays. As individual network sizes quickly ...
Abstract: In this paper, a design framework based on integer linear programming is proposed for optimizing sparse array structures. We resort to binary vectors to formulate the design problem for ...
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