Results 21 to 30 of about 64,776 (264)
An Active and Reactive Power Controller for Battery Energy Storage System in Microgrids
IEEE Access, 2022 Battery energy storage systems (BESS) are widely used for renewable energy applications, especially in stabilizing the power system with ancillary services.
Jun-Ting Gao +3 more
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Model predictive control for smooth distributed power adaptation [PDF]
2012 IEEE Wireless Communications and Networking Conference (WCNC), 2012 This paper addresses the distributed power adaptation (DPA) problem on the downlink for wireless cellular networks. As a consequence of uncoordinated local scheduling decisions in classical networks, the base stations produce mutual uncontrolled interference on their co-channel users. This interference is of a variable nature, and is hardly predictable,
Garcia, Virgile +2 more
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A robust anisotropic diffusion filter with low arithmetic complexity for images
EURASIP Journal on Image and Video Processing, 2019 Image smoothing with edge preservation in the presence of outliers is a challenge in image processing. Anisotropic diffusion smoothing is a well-established paradigm in digital image smoothing with edge preservation.
Resmi R. Nair +2 more
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The Power of First-Order Smooth Optimization for Black-Box Non-Smooth Problems
, 2022 Gradient-free/zeroth-order methods for black-box convex optimization have been extensively studied in the last decade with the main focus on oracle calls complexity. In this paper, besides the oracle complexity, we focus also on iteration complexity, and propose a generic approach that, based on optimal first-order methods, allows to obtain in a black ...
Gasnikov, Alexander +8 more
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Universal Regularization Methods: Varying the Power, the Smoothness and the Accuracy [PDF]
SIAM Journal on Optimization, 2019 Adaptive cubic regularization methods have emerged as a credible alternative to linesearch and trust-region for smooth nonconvex optimization, with optimal complexity amongst second-order methods. Here we consider a general/new class of adaptive regularization methods, that use first- or higher-order local Taylor models of the objective regularized by ...
Cartis, C, Gould, N, Toint, P
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Intelligent Wind Power Smoothing Control using Fuzzy Neural Network
E3S Web of Conferences, 2018 An intelligent wind power smoothing control using fuzzy neural network (FNN) is proposed in this study. First, the modeling of wind power generator and the designed battery energy storage system (BESS) are introduced.
Lin Faa-Jeng +2 more
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Modelling and control of vanadium redox flow battery for smoothing wind power fluctuation
IET Renewable Power Generation, 2021 Due to the negative impact of a highly stochastic wind power fluctuation on the power quality and stability during high penetration of wind power in power systems, there is growing interest in power smoothing and energy redistribution in wind power ...
Feng‐Chang Gu, Hung‐Cheng Chen
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Approximation power of smooth bivariate PP functions
Mathematische Zeitschrift, 1988 Bivariate piecewise polynomials in \(C^{\rho}\) of degree \(\leq k\) on some triangulation \(\Delta\) are shown to approximation to smooth functions to within \(| \Delta | ^{k+1}\) if \(k>3\rho +1\). The argument makes essential use of the Bernstein-Bézier polynomial form.
Boor, C. de, Höllig, K.
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Power Smoothing Enhancement in Hybrid System Using Neural Network Controller [PDF]
E3S Web of ConferencesA novel hybrid energy system featuring a neural network (NN) controller for enhanced power smoothing is proposed in this research. The system integrates a wind turbine and a solar array to generate renewable electricity. However, the inherent variability
Gopalakrushna A. +3 more
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Energies, 2022 Smooth power injection is one of the possible services that modern wind farms could provide in the not-so-far future, for which energy storage is required.
Valerio Mariani +2 more
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