Results 101 to 110 of about 844 (191)
EnergiesThe large-scale integration of Distributed Generation (DG) poses significant challenges to the stable operation of distribution networks. It is particularly crucial to explore the power supply restoration capability of Soft Open Points with Energy ...
Lin Jiang +4 more
doaj +1 more source
On the geometric interpretation of the nonnegative rank [PDF]
The nonnegative rank of a nonnegative matrix is the minimum number of nonnegative rank-one factors needed to reconstruct it exactly. The problem of determining this rank and computing the corresponding nonnegative factors is difficult; however it has ...
GILLIS, Nicolas, GLINEUR, François
core
Estratégia de controle cooperativo baseado em consenso para um grupo multi-veículos [PDF]
, 2013 Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia de Automação e Sistemas, Florianópolis, 2013Resumo: Nesta tese é apresentada uma proposta de controle cooperativo baseada em consenso ...
Ordoñez, Bernardo
core
Efficient numerical algorithms for large-scale conic optimization [PDF]
Conic optimization has been widely used in many areas, such as machine learning, image processing and automatic control. It usually relies on iterative algorithms to find the optimum numerically.
Chen, Yuwen
core +2 more sources
International Journal of Electrical Power & Energy SystemsRenewable output curtailment-based hosting capacity improvement provides more carbon contribution by increasing grid-connected zero-carbon energy.
Hong Liu +7 more
doaj +1 more source
International Journal of Electrical Power & Energy SystemsBurdens of increasing penetration of electric vehicles (EVs) on distribution systems have attracted wide attention to the research of EV charging coordination.
Tingting Xiao +2 more
doaj +1 more source
Mixed Integer Quadratic Optimization for Learning Directed Acyclic Graphs from Continuous Data [PDF]
, 2019 Thesis (Ph.D.)--University of Washington, 2019The study of probabilistic graphical models (PGMs) is an essential topic in statistics and machine learning fields.
Manzour, Hasan
core
EnergiesThis study develops a tri-level adversarial robust optimization framework for cyber–physical scheduling in smart grids, addressing the intertwined challenges of coordinated cyberattacks, defensive resource allocation, and stochastic operational ...
Fei Liu +6 more
doaj +1 more source
A Soft Open Points Siting, Sizing, and Multi-Period Power Flow Optimization Based on Second-Order Cone Relaxation [PDF]
[Objective] With the large-scale integration of distributed energy resources such as wind and solar power, distribution networks are experiencing increasing operational challenges, including voltage violations, reverse power flows, and rising line losses.
Kai ZHANG +3 more
core +1 more source
CuClarabel: GPU acceleration for a conic optimization solver [PDF]
We present the GPU implementation of the general-purpose interior-point solver Clarabel for convex optimization problems with conic constraints. We introduce a mixed parallel computing strategy that processes linear constraints first, then handles other ...
Nobel, Parth +4 more
core +2 more sources