This article addresses the problem of estimating the state of a multimachine power system (MPS). To work with power networks with lossy transmission lines, a variation of the classical third-order MPS is proposed by considering generators' electrical power injected into the grid as...
This paper deals with state estimation process, based on Kalman Filtering techniques, multi-machine power systems. Comparison of Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) algorithms is also done along with their verification under transient conditions. It is demonstrated that UKF...
main BranchesTags Code Latest commit SpaceLearner Merge pull request#6from wangz3066/main Dec 20, 2024 1abea6d·Dec 20, 2024 History 149 Commits README Awesome-DynamicGraphLearning Awesome papers (codes) about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge gra...
Recently, dynamic multiobjective evolutionary algorithms (DMOEAs) with transfer learning have become popular for solving dynamic multiobjective optimizatio... Y Ye,Q Lin,L Ma,... - 《Inf Sci》 被引量: 0发表: 2022年 Individual-Based Transfer Learning for Dynamic Multiobjective Optimization Dynamic...
This method combined 2D detection, discrete viewpoint classification, and semantic reasoning to obtain rough 3D object estimation. At the same time, combined with the time sparsity feature, the 3D object pose and velocity were obtained. Siam et al.24 proposed a multi-task learning system for ...
Example of a power state machine for a StrongARM SA-1100 processor. 2.6.2 Dynamic Voltage and Frequency Scaling Dynamic voltage and frequency scaling (DVFS) is a technique that aims at reducing the dynamic power consumption by dynamically adjusting voltage and frequency of a CPU [33]. This ...
摘要: A complete multiple house-hold appliances NILM framework.A novel STFT-SSAE algorithm for load feature extraction.Bi-LSTM-DTW load identification architecture combined with output probability vector.关键词: KeywordsNon-intrusive load monitoringMulti-device tasksShort time fourier transformSparse stacked...
nanocrystalline carbon on Cu, Cr, and Ti. The machine-learning-driven deposition models presented in this study may open up opportunities for investigating multi-element metallic or alloy substrates in the growth of diverse carbon nanostructures, such as graphene, CNTs, graphite- or diamond-like ...
This study uses machine learning methods to distinguish between healthy and pathological gait. Examples of multi-dimensional pathological and normal gait s... E Dolatabadi,B Taati,A Mihailidis - International Conference of the IEEE Engineering in Medicine & Biology Society 被引量: 0发表: 2016年...
(2019). A novel approach for estimation of dynamic from static origin–destination matrices. Transportation Letters, 11(4), 219–228. Article Google Scholar Sobral, T., Galvão, T., & Borges, J. (2021). Knowledge-assisted visualization of multi-level origin-destination flows using ...