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Journal articles on the topic 'Time recursive energy'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Slutsker, I. W., S. Mokhtari, and K. A. Clements. "Real time recursive parameter estimation in energy management systems." IEEE Transactions on Power Systems 11, no. 3 (1996): 1393–99. http://dx.doi.org/10.1109/59.535680.

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2

Rocha, Rodolfo Varraschim, Denis Vinicius Coury, and Renato Machado Monaro. "Recursive and non-recursive algorithms for power system real time phasor estimations." Electric Power Systems Research 143 (February 2017): 802–12. http://dx.doi.org/10.1016/j.epsr.2016.08.034.

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3

Dong, Shigui, Na Wang, Xueyan Wang, and Zihao Lu. "Extended Recursive Three-Step Filter for Linear Discrete-Time Systems with Dual-Unknown Inputs." Energies 16, no. 15 (2023): 5603. http://dx.doi.org/10.3390/en16155603.

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This paper proposes two new extended recursive three-step filters for linear discrete systems with dual-unknown inputs, which can simultaneously estimate unknown input and state. Extended recursive three-step filter 1 (ERTSF1) introduces an innovation for obtaining the estimates of the unknown input in the measurement equation, then derives the estimates of the unknown input in the state equation. After that, it uses the already obtained estimates of the dual-unknown inputs to correct the one-step prediction of the state, and finally, it obtains the minimum-variance unbiased estimate of the sy

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Sheltami, Tarek R., Danish Sattar, Elhadi M. Shakshuki, and Ashraf S. Mahmoud. "Real-Time Performance Evaluation for Flooding and Recursive Time Synchronization Protocols over Arduino and XBee." International Journal of Distributed Sensor Networks 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/652041.

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Time synchronization is a crucial part of distributed systems. It is often required for data reliability and coordination in wireless sensor networks (WSNs). Wireless sensor networks have three major goals: time synchronization, low bandwidth operation, and energy efficiency. Different time synchronization algorithms are aimed at achieving these objectives using various methods. This paper presents performance evaluation of two state-of-the-art time synchronization protocols, namely, Flooding Time Synchronization Protocol and Recursive Time Synchronization Protocol. To achieve time synchroniza

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Nelson-Isaacs, Sky. "Eliminating the Second-Order Time Dependence from the Time Dependent Schrödinger Equation Using Recursive Fourier Transforms." Quantum Reports 6, no. 3 (2024): 323–48. http://dx.doi.org/10.3390/quantum6030021.

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A strategy is developed for writing the time-dependent Schrödinger Equation (TDSE), and more generally the Dyson Series, as a convolution equation using recursive Fourier transforms, thereby decoupling the second-order integral from the first without using the time ordering operator. The energy distribution is calculated for a number of standard perturbation theory examples at first- and second-order. Possible applications include characterization of photonic spectra for bosonic sampling and four-wave mixing in quantum computation and Bardeen tunneling amplitude in quantum mechanics.

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Hu, Xuekai, Siming Zeng, Liang Meng, Tiecheng Li, and Qian Zhang. "Fast-tracking method of inertial constant based on system identification." Science and Technology for Energy Transition 79 (2024): 4. http://dx.doi.org/10.2516/stet/2023045.

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Aiming at the problem of quantitative inertia evaluation of a new energy electric power system, the system inertia constant tracking method based on system identification is studied. The method is divided into two categories: non-recursive algorithm and recursive algorithm. The non-recursive algorithm uses a batch of data for batch processing to obtain the estimated value of the identification model parameters. The recursive algorithm is based on the estimated value of the model parameter at the previous moment and corrects the estimated value based on the new data currently obtained. From the

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Madhiarasan, Manoharan, Mohamed Louzazni, and Brahim Belmahdi. "Statistical Analysis of Novel Ensemble Recursive Radial Basis Function Neural Network Performance on Global Solar Irradiance Forecasting." Journal of Electrical and Computer Engineering 2023 (March 28, 2023): 1–10. http://dx.doi.org/10.1155/2023/2554355.

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Reliable operation of energy management systems, grid stability, and managing energy demand responses are becoming challenging because of the flickering nature of solar irradiance. Accurate forecasting of global solar irradiance, i.e., global horizontal irradiance (GHI), plays a significant role in energy policy-making and the energy market. This paper proposes a novel global solar irradiance forecasting model based on the ensemble recursive radial basis function neural networks (ERRBFNNs). The various atmospheric inputs based on the built ensemble recursive radial basis function neural networ

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Bouhdid, Badia, Wafa Akkari, and Sofien Gannouni. "Low Cost Recursive Localization scheme for High Density Wireless Sensor Networks." International Journal on Semantic Web and Information Systems 13, no. 3 (2017): 68–88. http://dx.doi.org/10.4018/ijswis.2017070104.

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While existing localization approaches mainly focus on enhancing the accuracy, particular attention has recently been given to reducing the localization algorithm implementation costs. To obtain a tradeoff between location accuracy and implementation cost, recursive localization approaches are being pursued as a cost-effective alternative to the more expensive localization approaches. In the recursive approach, localization information increases progressively as new nodes compute their positions and become themselves reference nodes. A strategy is then required to control and maintain the dist

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Wang, Cheng, Haiyang Huang, Xiongming Lai, and Jianwei Chen. "A New Online Operational Modal Analysis Method for Vibration Control for Linear Time-Varying Structure." Applied Sciences 10, no. 1 (2019): 48. http://dx.doi.org/10.3390/app10010048.

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From the viewpoint of vibration control, if the amplitude of the main frequencies of the vibration response can be reduced, the vibration energy of the structure is greatly reduced. Modal parameters, including modal shapes, natural frequencies, and damping ratios, can reflect the dynamics of the structure and can be used to control the vibration. This paper integrates the idea of “forgetting factor weighting” into eigenvector recursive principal component analysis, and then proposes an operational modal analysis (OMA) method that uses eigenvector recursive PCA with a forgetting factor (ERPCAWF

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Costa, Bruno Sielly Jales, Plamen Parvanov Angelov, and Luiz Affonso Guedes. "Real-Time Fault Detection Using Recursive Density Estimation." Journal of Control, Automation and Electrical Systems 25, no. 4 (2014): 428–37. http://dx.doi.org/10.1007/s40313-014-0128-4.

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11

Costa, Polyana Bezerra, Italo Francyles Santos da Silva, Pedro Henrique Carvalho Vieira, et al. "RCMeans: A Recursive Capacitated Means for Districting Problem." Journal on Advances in Theoretical and Applied Informatics 4, no. 1 (2018): 28. http://dx.doi.org/10.26729/jadi.v4i1.2745.

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The billing process of an energy distributor in Brazil is connected to reading energy consumption logistics. An efficient, balanced and capacity enabled process has benefits with cost reducing and quality perception of the service provided. In capacitated clustering, the elements are associated with weights for construction of groups with limited capacities. This paper presents an approach to the capacitated clustering problem, applied to the consumer unit measurement groups organization in Brazil's energy distributors companies. The process of creating those measurement groups, in general, is

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Reyes, Fernando, and Rafael Kelly. "Experimental Evaluation of Identification Schemes on a Direct Drive Robot." Robotica 15, no. 5 (1997): 563–71. http://dx.doi.org/10.1017/s0263574797000659.

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This paper describes the experimental evaluation of three identification schemes to determine the dynamic parameters of a two degrees of freedom direct-drive robot. These schemes involve a recursive estimator while the regression models are formulated in continuous time. The fact that the total energy of robot manipulators can be represented as a linear relation in the inertial parameters, has motivated the suggestion in the literature of several regression models which are linear in a common dynamic parameter vector. Among them, in this paper we consider the schemes based on the filtered dyna

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B Shoba Rani. "Modified Effective Histogram Equalization method for Night Time Color image enhancement with Energy Curve." Journal of Information Systems Engineering and Management 10, no. 49s (2025): 873–83. https://doi.org/10.52783/jisem.v10i49s.10001.

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By modifying brightness, contrast, sharpness, and color balance, color photographs can be made more visually appealing. By highlighting significant characteristics and reducing noise or distortion, the main aim of enhancement is to make the image more aesthetically visible, lucid, and interpretable. Techniques vary from basic brightness and contrast tweaks to sophisticated algorithms. Improved quality in low-light video is vital for distinguishing individuals and activities in security and surveillance. Challenges like noise amplification and over-enhancement can create unnatural images with e

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14

Jahromi, Mehdi Zareian, and Shahram Montaser Kouhsari. "A novel recursive approach for real-time transient stability assessment based on corrected kinetic energy." Applied Soft Computing 48 (November 2016): 660–71. http://dx.doi.org/10.1016/j.asoc.2016.06.045.

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15

Zhang, Ling, Ming Li, Gangsheng Li, and Rui Wang. "Symbol Estimation Algorithm for MIMO Underwater Acoustic Communication System Based on Multiplicative Noise Model." Mathematical Problems in Engineering 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/719025.

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The stochastic and time-varying underwater acoustic (UWA) channels are usually affected by serious multipath delays, energy loss and distortion factors, thus making the modeling and estimation of the UWA channel challenging problems in the research community. Based on the analysis of the UWA channel, the system with multiplicative noise (SMN) model is established to characterize the complicated factors such as random time-variation, nonlinearity, and energy attenuation. As to the multiple-input multiple-output (MIMO) UWA communication, the complicated SMN model is established for MIMO UWA chan

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Antonov, V. O. "ANALYSIS OF THE COMPUTATIONAL COMPLEXITY OF THE METHOD OF ITERATIVE DIMENSIONAL-LINEAR GENERATION OF THE TRAJECTORY OF MOTION OF THE THREE-LINE ANTHROPOMORPHIC MANIPULATOR IN THE VOLUME SPACE WITH OBSTRUCTION." Proceedings of the Southwest State University 22, no. 3 (2018): 13–28. http://dx.doi.org/10.21869/2223-1560-2018-22-3-13-28.

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Energy efficiency is an actual problem of the present, including in the field of robotics. Existing methods for planning the trajectory of motion of manipulators with excessive mobility face a number of problems, one of which is the impossibility of working in real time mode due to the high complexity of the scheduling algorithm. Moreover, the existing algorithms that work in real time are significantly inferior to the accuracy of the target operations. Therefore, earlier, in the author's articles, an iterative method of piecewise linear generation of the manipulator's trajectory was developed

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17

Muhammad Usman Bhatti, Muhammad Kamran Bhatti, Usman Ali, and Muhammad Waseem. "Evaluating the Impact of Energy Price and Energy Consumption on Environmental Sustainability in Case of Pakistan." Critical Review of Social Sciences Studies 3, no. 1 (2025): 3596–609. https://doi.org/10.59075/rfwgq564.

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Energy prices and energy consumption are pivotal factors influencing environmental sustainability. Fluctuations in energy prices can significantly affect consumer and industrial behavior, impacting the choice of energy sources and overall energy demand. Using annual time series data from 1990 to 2023, this study aims to assess, by Energy Price and Energy Consumption, Environmental Sustainability in Case of Pakistan. For stationary of the variables, the study applied Augmented Dickey - Fuller (ADF) test using unit root. Furthermore, used in order to observe the long-run co-integration between t

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18

Bakurova, Anna, Iryna Divocha, Sergiy Kiyko, and Olesia Yuskiv. "RECURRENT ANALYSIS OF ENERGY CONSUMPTION OF A METALLURGICAL ENTERPRISE." Innovative Technologies and Scientific Solutions for Industries, no. 1 (23) (April 20, 2023): 14–24. http://dx.doi.org/10.30837/itssi.2023.23.014.

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The subject of the study is the study of models and methods for short-term forecasting of energy consumption in power systems based on recurrent analysis of time series. The aim of the work is a recurrent analysis of the time series of energy consumption of a metallurgical enterprise and the development of a program in the Matlab environment for automating calculations and experimental testing of data available for research in PJSC Electrometallurgical Plant "Dniprospetsstal" named after A. M. Kuzmin. The following tasks have been solved: the methodology for constructing recurrent diagrams and

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19

Lin, T., and A. Domijan. "Recursive Algorithm for Real-Time Measurement of Electrical Variables in Power Systems." IEEE Transactions on Power Delivery 21, no. 1 (2006): 15–22. http://dx.doi.org/10.1109/tpwrd.2005.858802.

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Jalilzadeh Hamidi, R., and Hanif Livani. "A Recursive Method for Traveling-Wave Arrival-Time Detection in Power Systems." IEEE Transactions on Power Delivery 34, no. 2 (2019): 710–19. http://dx.doi.org/10.1109/tpwrd.2018.2877705.

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Lavenda, B. H. "Special Relativity via Modified Bessel Functions." Zeitschrift für Naturforschung A 55, no. 9-10 (2000): 745–53. http://dx.doi.org/10.1515/zna-2000-9-1001.

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The recursive formulas of modified Bessel functions give the relativistic expressions for energy and momentum. Modified Bessel functions are solutions to a continuous time, one-dimensional discrete jump process. The jump process is analyzed from two inertial frames with a relative constant velocity; the average distance of a particle along the chain corresponds to the distance between two observers in the two inertial frames. The recursion relations of modified Bessel functions are compared to the 'k calculus' which uses the radial Doppler effect to derive relativistic kinematics. The Doppler

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22

Choi, Jae-Ho, Bong-Tae Kim, and Won-Koo Kim. "Time-Variant Moving Objects Extraction using Velocity-Tuned Filter Banks and Time-Recursion Method in Infrared Image Sequences." Journal of Circuits, Systems and Computers 07, no. 04 (1997): 283–99. http://dx.doi.org/10.1142/s0218126697000218.

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A motion vector selective moving object estimation algorithm that preserves the exact shapes and textures of moving objects is presented. In order to extract multiple moving objects with arbitrary motion vectors embedded in the sequence of image frames of cluttered stationary background as alleviating the aliasing effects, both 3D spectral filter banks, called velocity-tuned filter banks, and time-recursive Kalman filter are incorporated to work in parallel. Furthermore, using the fact that the motion energy for each one of the moving objects takes a unique part of the spectrum in the 3D spati

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Wang, Kang Qi, Xiao Bin Tan, and Shan Jin Yu. "Load Scheduling Strategies Based on Dynamic Price in Smart Grid." Advanced Materials Research 860-863 (December 2013): 2495–500. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.2495.

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The combination of renewable energy and dynamic electricity pricing is an important feature of modern smart grid. Due to the dynamic electricity price and the intermittency nature of renewable energy, a local small-scaled smart grid (microgrid) needs to intelligently schedule various work loads to determine their start and end time in order to maximize the utilization of renewable energy and minimize the total electricity cost. Since the workload that can be shifted/scheduled is classified into interruptible load and non-interruptible load, in this paper we present two novel recursive scheduli

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Yang, Kuo, Yugui Tang, and Zhen Zhang. "Parameter Identification and State-of-Charge Estimation for Lithium-Ion Batteries Using Separated Time Scales and Extended Kalman Filter." Energies 14, no. 4 (2021): 1054. http://dx.doi.org/10.3390/en14041054.

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With the development of new energy vehicle technology, battery management systems used to monitor the state of the battery have been widely researched. The accuracy of the battery status assessment to a great extent depends on the accuracy of the battery model parameters. This paper proposes an improved method for parameter identification and state-of-charge (SOC) estimation for lithium-ion batteries. Using a two-order equivalent circuit model, the battery model is divided into two parts based on fast dynamics and slow dynamics. The recursive least squares method is used to identify parameters

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Meher, Pramod, and Sang Park. "Design of Cascaded CORDIC Based on Precise Analysis of Critical Path." Electronics 8, no. 4 (2019): 382. http://dx.doi.org/10.3390/electronics8040382.

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A conventional coordinate rotation digital computer (CORDIC) has a low throughput rate due to its recursive implementation of micro-rotations. On the contrary, a fully-pipelined cascaded CORDIC provides a very high throughput rate at the cost of high complexity and large area. In this paper, possible design choices of cascaded CORDIC are explored over a wide range of operating frequencies, throughput rates, latency, and area complexity. For this purpose, we present a fine-grained critical path analysis of the cascaded CORDIC in terms of bit-level delay. Based on the propagation delay estimate,

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Jauch, Jens, Felix Bleimund, Michael Frey, and Frank Gauterin. "Automated Longitudinal Control Based on Nonlinear Recursive B-Spline Approximation for Battery Electric Vehicles." World Electric Vehicle Journal 10, no. 3 (2019): 52. http://dx.doi.org/10.3390/wevj10030052.

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This works presents a driver assistance system for energy-efficient ALC of a BEV. The ALC calculates a temporal velocity trajectory from map data. The trajectory is represented by a cubic B-spline function and results from an optimization problem with respect to travel time, driving comfort and energy consumption. For the energetic optimization we propose an adaptive model of the required electrical traction power. The simple power train of a BEV allows the formulation of constraints as soft constraints. This leads to an unconstrained optimization problem that can be solved with iterative filt

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Zhang, Shaoyong, Jiefeng Xiong, Shuping Song, Chuanzhen Bai, and Hongkai Li. "The Periodic Characteristics of Harmonic Measurement Errors with the Initial Sampling Time." International Journal of Emerging Electric Power Systems 17, no. 1 (2016): 39–47. http://dx.doi.org/10.1515/ijeeps-2015-0090.

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Abstract The stability and consistency of harmonic amplitude measurement is very important for power quality analysis and assessment. Some random factors may influence the measurement results in the real world, for example the initial sampling time. In this paper, we put this view a little forward, and prove that the amplitude errors with DFT method change periodically with the initial-sampling time, and DFT method “may” give relatively worse results, with the window which has better characteristics. To mitigate this random influence and to achieve more stable measurement precision, the well k

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Knapp, Keith C. "Exhaustible Resource Allocation, Intergenerational Equity, and Sustainability." Agricultural and Resource Economics Review 25, no. 1 (1996): 60–67. http://dx.doi.org/10.1017/s1068280500000083.

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An OLG model with exhaustible resources and solar energy is developed, and equilibrium time paths are characterized numerically using recursive methods. For the parameter values considered, resource prices increase over time, and extractions, output, and utility decline over time until a steady-state is reached. Decreasing the intertemporal elasticity of substitution or raising consumers' subjective discount rate hastens exhaustion of the resource stock. Market equilibrium can result in much quicker use of the stock than social optimality under a constant discount rate, with consequent higher

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Yang, Xiaodong, Wenjin Jiang, Xianan Huang, et al. "An Exquisite Modeling Method for Energy Storage of MMC." Journal of Physics: Conference Series 2659, no. 1 (2023): 012032. http://dx.doi.org/10.1088/1742-6596/2659/1/012032.

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Abstract At present, battery energy storage systems are available in increasingly higher voltage levels and capacities. The traditional topology cannot meet the demand, and the converter needs to adopt the multilevel voltage topology. In this paper, an exquisite equivalent modeling method for energy storage modular multilevel converter (MMC) is proposed. In this method, the model parameters of the bridge arm and battery pack are obtained by the Kalman filtering algorithm and improved recursive least square method. Secondly, the whole bridge arm is equivalent by using Thevenin’s theorem, and th

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Li, Changzhi, Dandan Liu, Mao Wang, Hanlin Wang, and Shuai Xu. "Detection of Outliers in Time Series Power Data Based on Prediction Errors." Energies 16, no. 2 (2023): 582. http://dx.doi.org/10.3390/en16020582.

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The primary focus of smart grid power analysis is on power load forecasting and data anomaly detection. Efficient and accurate power load prediction and data anomaly detection enable energy companies to develop reasonable production and scheduling plans and reduce waste. Since traditional anomaly detection algorithms are typically for symmetrically distributed time series data, the distribution of energy consumption data features uncertainty. To this end, a time series outlier detection approach based on prediction errors is proposed in this paper, which starts by using an attention mechanism-

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Nelson-Isaacs, Sky. "On the Holographic Spectral Effects of Time-Interval Subdivisions." Quantum Reports 7, no. 1 (2025): 14. https://doi.org/10.3390/quantum7010014.

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Drawing on formal parallels between scalar diffraction theory and quantum mechanics, it is demonstrated that quantum wavefunction propagation requires a holographic model of time. Measurable time manifests between interactions as a duration which is encoded in the frequency domain. It is thus a unified entity, and attempts to subdivide these intervals introduce oscillatory artifacts or spectral broadening, altering the system’s physical characteristics. Analogous to spatial holograms, where information is distributed across interference patterns, temporal intervals encode information as a disc

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BOCHNER, BRETT. "COSMIC ACCELERATION AND CONCORDANCE FROM CAUSAL BACKREACTION WITH RECURSIVE NONLINEARITIES." International Journal of Modern Physics D 22, no. 13 (2013): 1330026. http://dx.doi.org/10.1142/s0218271813300267.

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We review the causal backreaction paradigm, in which the need for Dark Energy is eliminated via the generation of an apparent cosmic acceleration from the causal flow of inhomogeneity information coming in from distant structure-forming regions. The formalism detailed here incorporates the effects of "recursive nonlinearities": the process by which already-established metric perturbations will subsequently act to slow-down all future flows of inhomogeneity information. Despite such effects, we find viable cosmological models in which causal backreaction successfully serves as a replacement for

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Usenko, Valerii, Oleg Vorontsov, and Irina Usenko. "RECURSIVE APPROACHES TO RELIABILITY ASSESSMENT OF RING STRUCTURES." APPLIED GEOMETRY AND ENGINEERING GRAPHICS, no. 107 (February 26, 2025): 172–81. https://doi.org/10.32347/0131-579x.2024.107.172-181.

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The problem of assessing the reliability of ring structures is highly relevant for many engineering systems, such as water supply, gas, telecommunication, and energy networks. This article is devoted to the analysis of the topological characteristics of ring networks, their impact on failure resilience, and the development of mathematical models for reliability assessment. Particular attention is paid to single-ring structures, considering both uniform and varying reliability of elements. Based on graph theory and spanning trees, formulas are proposed that take into account all possible combin

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Topan, Paris Ali, and Dinda Fardila. "ESTIMASI TEGANGAN OPEN CIRCUIT DAN RESISTANSI INTERNAL BATERAI MENGGUNAKAN ALGORITMA RECURSIVE LEAST SQUARES." Jurnal Informatika Teknologi dan Sains (Jinteks) 6, no. 4 (2024): 1201–5. https://doi.org/10.51401/jinteks.v6i4.4863.

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This study employs the Recursive Least Squares (RLS) algorithm to estimate the Open Circuit Voltage (OCV) and internal resistance (Ro) of a battery in real-time, based on measured current and voltage data. The results demonstrate that RLS can produce accurate estimates of OCV and Ro, with a Mean Squared Error (MSE) of 0.031, indicating a very small difference between the predicted and measured terminal voltage. The estimated OCV is stable, while Ro remains consistently within the range of 0.075 to 0.175 ohms, despite fluctuations in voltage due to changes in current. These findings show that t

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Xu, Xin-Ping. "Localization of quantum walks on a deterministic recursive tree." Quantum Information and Computation 11, no. 3&4 (2011): 253–61. http://dx.doi.org/10.26421/qic11.3-4-5.

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Localization of quantum walks can be characterized by the return probability, i.e., the probability for the walker returning to its original site. In this paper, we consider localization of continuous-time quantum walks in terms of return probability on a deterministic recursive tree, which is generated by adding one node and connecting it to each node of the existing tree recursively. We obtain an approximate form for the return probability using the complete eigenvalues and eigenstates of Laplace matrix of the structure. It is found that the return probability depends on the initial node of

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Liu, Bin, and Hongbo Zhu. "Energy-Effective Data Gathering for UAV-Aided Wireless Sensor Networks." Sensors 19, no. 11 (2019): 2506. http://dx.doi.org/10.3390/s19112506.

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Unmanned aerial vehicles (UAVs) are capable of serving as a data collector for wireless sensor networks (WSNs). In this paper, we investigate an energy-effective data gathering approach in UAV-aided WSNs, where each sensor node (SN) dynamically chooses the transmission modes, i.e., (1) waiting, (2) conventional sink node transmission, (3) uploading to UAV, to transmit sensory data within a given time. By jointly considering the SN’s transmission policy and UAV trajectory optimization, we aim to minimize the transmission energy consumption of the SNs and ensure all sensory data completed collec

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Yan, Haitao, and Yongzhi Xu. "Energy Control Strategy for Parallel Hybrid Electric Vehicle Based on Terminal Neural Network." Scientific Programming 2021 (November 17, 2021): 1–9. http://dx.doi.org/10.1155/2021/7328008.

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Energy control strategy is a key technology of hybrid electric vehicle, and its control effect directly affects the overall performance of the vehicle. The current control strategy has some shortcomings such as poor adaptability and poor real-time performance. Therefore, a transient energy control strategy based on terminal neural network is proposed. Firstly, based on the definition of instantaneous control strategy, the equivalent fuel consumption of power battery was calculated, and the objective function of the minimum instantaneous equivalent fuel consumption control strategy was establis

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Park, Sunghwa, Janghan Kwon, and Taeil Kim. "An Analysis of the Dynamic Relationship between the Global Macroeconomy and Shipping and Shipbuilding Industries." Sustainability 13, no. 24 (2021): 13982. http://dx.doi.org/10.3390/su132413982.

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Using time-series data from January 2006 to February 2021, this study analyzed the effect of macroeconomic shocks on the shipping and shipbuilding industries. The Granger causality test, recursive structural vector autoregressive models, impulse response analysis, historical decomposition, and local projections model were used to identify the dynamic relationships between the variables and their dynamic effects, based on the results of the theoretical model and previous research. First, the Granger causality test demonstrated that the macroeconomic variables have causal relations with the ship

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Rao, Mumin, Li Wang, Chuangting Chen, et al. "Data-Driven State Prediction and Analysis of SOFC System Based on Deep Learning Method." Energies 15, no. 9 (2022): 3099. http://dx.doi.org/10.3390/en15093099.

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A solid oxide fuel cell (SOFC) system is a kind of green chemical-energy–electric-energy conversion equipment with broad application prospects. In order to ensure the long-term stable operation of the SOFC power-generation system, prediction and evaluation of the system’s operating state are required. The mechanism of the SOFC system has not been fully revealed, and data-driven single-step prediction is of little value for practical applications. The state-prediction problem can be regarded as a time series prediction problem. Therefore, an innovative deep learning model for SOFC system state

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Rao, Mumin, Li Wang, Chuangting Chen, et al. "Data-Driven State Prediction and Analysis of SOFC System Based on Deep Learning Method." Energies 15, no. 9 (2022): 3099. http://dx.doi.org/10.3390/en15093099.

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A solid oxide fuel cell (SOFC) system is a kind of green chemical-energy–electric-energy conversion equipment with broad application prospects. In order to ensure the long-term stable operation of the SOFC power-generation system, prediction and evaluation of the system’s operating state are required. The mechanism of the SOFC system has not been fully revealed, and data-driven single-step prediction is of little value for practical applications. The state-prediction problem can be regarded as a time series prediction problem. Therefore, an innovative deep learning model for SOFC system state

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Eisler, G. R., R. D. Robinett, D. J. Segalman, and J. D. Feddema. "Approximate Optimal Trajectories for Flexible-Link Manipulator Slewing Using Recursive Quadratic Programming." Journal of Dynamic Systems, Measurement, and Control 115, no. 3 (1993): 405–10. http://dx.doi.org/10.1115/1.2899116.

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The method of recursive quadratic programming, coupled with a homotopy method, has been used to generate approximate minimum-time and minimum tracking-error tip trajectories for two-link flexible manipulator movements in the horizontal plane. The manipulator is modeled with an efficient finite-element scheme for a multi-link, multi-joint system with bending only in the horizontal-plane. Constraints on the trajectory include boundary conditions on link tip position, final joint velocities, accelerations and torque inputs to complete a rest-to-rest maneuver, straight-line tip tracking between bo

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Deng, Feng, and George A. McMechan. "Viscoelastic true-amplitude prestack reverse-time depth migration." GEOPHYSICS 73, no. 4 (2008): S143—S155. http://dx.doi.org/10.1190/1.2938083.

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A new true-amplitude prestack elastic depth-migration algorithm includes compensation for transmission and anelastic attenuation losses in an isotropic medium. Geometric spreading and its compensation are incorporated by extrapolating up- and downgoing waves using a full two-way wave equation. Intrinsic attenuation is simulated and compensated for using composite memory variables derived from standard linear solid relaxation mechanisms. Zoeppritz equations and their approximations are used to compute and analyze the angle-dependent reflection/transmission coefficients; converted energy is incl

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Liu, Teng, and Xiaosong Hu. "A Bi-Level Control for Energy Efficiency Improvement of a Hybrid Tracked Vehicle." IEEE Transactions on Industrial Informatics 14, no. 4 (2018): 1616–25. https://doi.org/10.1109/TII.2018.2797322.

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In this paper, a bi-level control framework is proposed to improve the energy efficiency for a hybrid tracked vehicle. The higher-level discusses how to accurately predict power demand based on the Markov Chain. Specially, fuzzy encoding predictor is used for power demand prediction, and a real-time recursive algorithm is applied to fuse the future power demand information into transition probability matrix (TPM) computation. Furthermore, the Kullback–Leibler (KL) divergence rate is employed to decide the alteration of control strategy. The lower-level computes the relevant energy manage

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Ouyang, Yani, Wei Zhao, Haifeng Wang, and Wenyong Wang. "A Multiple Time Scales Rolling Coordinative Dispatching Method for an Island Microgrid with High Proportion Tidal Current Energy Access and Demand Response Resources." Energies 15, no. 19 (2022): 7292. http://dx.doi.org/10.3390/en15197292.

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Currently, the ocean energy strategy is rapidly developing, and a high proportionate tidal current energy grid connection presents significant obstacles to the planning and secure and stable operation of an island microgrid. For an island microgrid with high proportion tidal current energy access and demand response resources, this research suggests a multiple time scales rolling coordinative dispatching method. An MPPT control based on Q-Learning algorithm is first developed for real-time maximum power tracking of tidal current energy generation after the island microgrid’s topology has been

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Xin Ding and J. Meng. "Channel Estimation and Simulation of an Indoor Power-Line Network via a Recursive Time-Domain Solution." IEEE Transactions on Power Delivery 24, no. 1 (2009): 144–52. http://dx.doi.org/10.1109/tpwrd.2008.917691.

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Yue, Meiling, Xin Zhang, Teng Teng, Jianwen Meng, and Elodie Pahon. "Recursive performance prediction of automotive fuel cell based on conditional time series forecasting with convolutional neural network." International Journal of Hydrogen Energy 56 (February 2024): 248–58. http://dx.doi.org/10.1016/j.ijhydene.2023.12.168.

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Liu, Xin, Mengmeng Zhang, Jiawei Yang, Litong Wang, and Chaoshuo Wang. "Fast evaluation of the Cooray–Rubinstein formula in time domain via piecewise recursive convolution technique." IET Generation, Transmission & Distribution 12, no. 6 (2018): 1404–10. http://dx.doi.org/10.1049/iet-gtd.2017.1205.

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Chertkov, A. A., and V. G. Nikiforov. "Automating the search for the shortest closed path in transport network by means of MATLAB." Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova 16, no. 6 (2025): 992–1002. https://doi.org/10.21821/2309-5180-2024-16-6-992-1002.

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The paper considers the problem of automating the search and construction of the shortest closed route for a group of merchant ships on a given set of transit nodes of the transport network with known coordinates. The goal is to find the shortest closed route that passes through all hosts only once and ends at the outgoing node. In general, a weighted graph can serve as a mathematical model of such a transport network, in which the criterion for the efficiency of the desired route can be, for example, the distance between cities or ports, time or operating costs. This allows you to identify ti

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Chertkov, Alexandr A., Yaroslav N. Kask, and Ludmila B. Ochina. "STREAMING NETWORK ROUTING BASED ON BELLMAN-FORD ALGORITHM MODIFICATION." Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova 14, no. 4 (2022): 615–27. http://dx.doi.org/10.21821/2309-5180-2022-14-4-615-627.

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The operational task of automating the construction and routing of the network model with the known coordinates of the conditional goals set for a group of vessels to achieve them in the minimum time is solved; it makes it possible to obtain the reserves of running time necessary for saving fuel and energy, taking into account the load, the cost of cargo, transportation costs, logistics characteristics, etc. It is emphasized that in stormy weather conditions and vessel management in situations related to schedule correction, flexible operational decisions of dispatching services, made on the b

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Noman, Fuad, Ammar Ahmed Alkahtani, Vassilios Agelidis, Kiong Sieh Tiong, Gamal Alkawsi, and Janaka Ekanayake. "Wind-Energy-Powered Electric Vehicle Charging Stations: Resource Availability Data Analysis." Applied Sciences 10, no. 16 (2020): 5654. http://dx.doi.org/10.3390/app10165654.

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The integration of large-scale wind farms and large-scale charging stations for electric vehicles (EVs) into electricity grids necessitates energy storage support for both technologies. Matching the variability of the energy generation of wind farms with the demand variability of the EVs could potentially minimize the size and need for expensive energy storage technologies required to stabilize the grid. This paper investigates the feasibility of using the wind as a direct energy source to power EV charging stations. An interval-based approach corresponding to the time slot taken for EV chargi

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