Diesel Generator Model Parameterization for Microgrid Simulation Using Hybrid Box-Constrained Levenberg-Marquardt Algorithm [PDF]
IEEE Transactions on Smart Grid, 2020 Existing generator parameterization methods, typically developed for large turbine generator units, are difficult to apply to small kW-level diesel generators in microgrid applications. This article presents a model parameterization method that estimates
Q. Long +4 more
semanticscholar +1 more source
Local convergence of the Levenberg-Marquardt method under H\"{o}lder metric subregularity [PDF]
, 2019 We describe and analyse Levenberg-Marquardt methods for solving systems of nonlinear equations. More specifically, we propose an adaptive formula for the Levenberg-Marquardt parameter and analyse the local convergence of the method under H\"{o}lder ...
Arag, F.J. +4 more
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On damping parameters of Levenberg-Marquardt algorithm for nonlinear least square problems
, 2021 The Levenberg-Marquardt (LM) algorithm is a widely used method for solving problems related to nonlinear least squares. The method depends on a nonlinear parameter μ known as self-scaling parameter that affects the performance of the algorithm.
A. Umar +4 more
semanticscholar +1 more source
Fitting sediment rating curves using regression analysis: a case study of Russian Arctic rivers [PDF]
Proceedings of the International Association of Hydrological Sciences, 2015 Published suspended sediment data for Arctic rivers is scarce. Suspended sediment rating curves for three medium to large rivers of the Russian Arctic were obtained using various curve-fitting techniques.
N. I. Tananaev
doaj +1 more source
Comparison methods of short term electrical load forecasting
MATEC Web of Conferences, 2018 The supply of electricity that exceeds the load requirement results in the occurrence of electrical power losses. To provide the appropriate power supply to these needs, there must be a plan for the provision of electricity by making prediction or ...
Hartono, Marifa Ahmad Arif, Sadikin M.
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Monopulse forward-looking imaging algorithm based on Levenberg–Marquardt optimisation
The Journal of Engineering, 2019 With precise angle measurement, traditional monopulse techniques for forward-looking imaging can acquire exact angle information of one single target within a radar beam. However, when multiple targets exist in a beam, it is difficult to resolve them. To
Tao Zhou +4 more
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A smoothing Levenberg-Marquardt algorithm for linear weighted complementarity problem
AIMS Mathematics, 2023 In this paper, we consider the solution of linear weighted complementarity problem (denoted by LWCP). Firstly, we introduce a new class of weighted complementary functions and show that its continuously differentiable.
Panjie Tian, Zhensheng Yu , Yue Yuan
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Non-linear carbon dioxide determination using infrared gas sensors and neural networks with Bayesian regularization [PDF]
, 2009 Carbon dioxide gas concentration determination using infrared gas sensors combined with Bayesian regularizing neural networks is presented in this work.
Almeida +27 more
core +1 more source
Sensors, 2021 The image stitching process is based on the alignment and composition of multiple images that represent parts of a 3D scene. The automatic construction of panoramas from multiple digital images is a technique of great importance, finding applications in ...
Maria Júlia R. Aguiar +4 more
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New method for wind potential prediction using recurrent artificial neural networks [PDF]
E3S Web of Conferences, 2021 The aim of the study is to find the right architecture of the NARX neural network, in order to perform the daily prediction of the maximum wind speed of Laayoune city. We relied on the Levenberg-Marquardt optimization algorithm.
Amellas Yousra +4 more
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