In this study,the advanced topologies of a DC-DC converter for applications involving the harvesting of solar energy are *** work’s primary contribution is a guide for choosing the most effective topology for a DC-DC...
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In this study,the advanced topologies of a DC-DC converter for applications involving the harvesting of solar energy are *** work’s primary contribution is a guide for choosing the most effective topology for a DC-DC converter when developing solar energy collection *** topologies of a DC-DC converter for solar energy harvesting applications are compared in terms of the range of power levels they can oversee,the complexity of the underlying hardware,the cost of implementation,the tracking efficiency and the overall efficiency of the *** article explains five innovative approaches for adapting boost converters to function as standard DC-DC converters to capture solar energy,consisting of(i)voltage-multiplier cell,(2)coupled inductor,(3)coupled inductor and switch capacitor,(4)cascaded topology and(5)voltage-lift *** of the boost converter’s restrictions,it is necessary to deliver high *** comparison findings demonstrate that the voltage-lift-based boost-converter topology performs more effectively than the *** conclusion,the information presented in this paper can be utilized when developing solar energy collection systems to determine the sort of direct current to direct current converter that will be most effective.
Demand response creates an opportunity for consumers to play an important role in the development of smart *** the advent of renewable energies and their uncertainties,demand response provides a possible solution to r...
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Demand response creates an opportunity for consumers to play an important role in the development of smart *** the advent of renewable energies and their uncertainties,demand response provides a possible solution to resolve these *** addition to demand response schemes in the presence of renewable energy,the personality types of consumers can influence the choice of tariffs and change their electricity *** this paper,first,household residents with different types of personalities are considered as energy ***,the uncertainty of renewable energy sources is considered for the distributed generations scheduling by using a stochastic method called the Here-and-Now approach and considering three tariffs,time of use,real-time pricing,and direct load control in the residential sector to reduce total ***,the tariff choice is compared based on people preferences via various personality types,the Myers-Briggs Type Indicator test,and simulations ***,a probabilistic unit commitment methodology is used for distributed generations scheduling to minimize the total *** financial losses caused by non-optimal tariffs selection are determined through the comparison of *** results show that time of use and direct load control tariffs are optimal ones in summer and winter seasons,respectively.
Amplitude death has the potential to suppress unwanted oscillations in various engineering applications. However, in some engineering applications, such as dc microgrids, airfoil systems, and thermoacoustic systems, o...
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Amplitude death has the potential to suppress unwanted oscillations in various engineering applications. However, in some engineering applications, such as dc microgrids, airfoil systems, and thermoacoustic systems, oscillation frequency is highly susceptible to external influences, leading to considerable variations. To maintain amplitude death amidst these frequency variations, we propose a design procedure that is robust against frequency variation for inducing amplitude death in delay-coupled oscillators. We first analytically derive the oscillator frequency band in which amplitude death can occur. The frequency bandwidth is maximized when the coupling strength is inversely proportional to the connection delay. Furthermore, our analysis reveals that the oscillator frequency band is influenced by the minimum eigenvalue of the normalized adjacency matrix (i.e., network topology) and that bipartite networks exhibit limited robustness to frequency variations. Our design procedure maintains the stability of amplitude death even under substantial frequency variations and is applicable to various network topologies. Numerical simulations confirm the validity of the proposed design.
This paper develops a novel decentralized algorithm for the coordination of multi-agent systems with uncertain 2nd-order dynamics under collision, connectivity, and prescribed-performance constraints. More specificall...
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Neural tangent kernels (NTKs) provide a theoretical regime to analyze the learning and generalization behavior of over-parametrized neural networks. For a supervised learning task, the association between the eigenvec...
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Neural tangent kernels (NTKs) provide a theoretical regime to analyze the learning and generalization behavior of over-parametrized neural networks. For a supervised learning task, the association between the eigenvectors of the NTK and given data (a concept referred to as alignment in this paper) can govern the rate of convergence of gradient descent, as well as generalization to unseen data. Building upon this concept and leveraging the structure of NTKs for graph neural networks (GNNs), we theoretically investigate NTKs and alignment, where our analysis reveals that optimizing the alignment translates to optimizing the graph representation or the graph shift operator (GSO) in a GNN. Our results further establish theoretical guarantees on the optimality of the alignment for a two-layer GNN and these guarantees are characterized by the graph shift operator being a function of the cross-covariance between the input and the output data. The theoretical insights drawn from the analysis of NTKs are validated by our experiments focused on a multi-variate time series prediction task for a publicly available dataset. Specifically, they demonstrate that GNN-based learning models that operate on the cross-covariance matrix indeed outperform those that operate on the covariance matrix estimated from only the input data. Copyright 2024 by the author(s)
This work presents a compact, low-cost hexa-band microstrip antenna for Internet of Things (IoT) applications. The proposed hexa-band antenna is composed of simple six-λ/4 resonators to generate six resonant frequenc...
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This paper considers the problem of asymptotic stabilization of a class of MIMO control-affine systems with unknown nonlinear terms subject to prescribed transient constraints. We propose a novel control methodology, ...
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We propose a method to detect Radio Frequency Interference (RFI) superimposed on synthetic a perture radar (SAR) images using interferometric coherence in both range time and range frequency domain. We assume that RFI...
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This paper presents the building process of an interactive instrument called the Colombian Solar Atlas able to easily visualize meteorological data but also assess the current and future potentials of solar photovolta...
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This paper presents the building process of an interactive instrument called the Colombian Solar Atlas able to easily visualize meteorological data but also assess the current and future potentials of solar photovoltaic generation throughout the whole territory of Colombia,South *** new tool is based on two different meteorological *** first one is done with historical data extracted from satellite imagery information,and the other one corresponds to data issues from regional-scale climate change projection *** satellite database was validated with different in-situ *** Colombian Solar Atlas uses basic and advanced photovoltaic generation models to estimate the generation of a custom solar *** this tool,a user selects a point on the map and can have directly pertinent information to search for an optimal location with a spatial resolution of 4 *** tool is the first open interactive online tool particularly adapted to study the photovoltaic power potential in Colombia,considering the country’s needs and native language.
This paper presents a miniature (1.7 cm3) and zero static power magnetostatic surface wave tunable notch filter with a tuning range from 3.3 GHz - 10.3 GHz. The notch frequency can be directly tuned by transient volta...
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