Control Algorithm for Renewable Energy Standalone System with Power Quality and Demand Management by Lingappa Jaklair, Guduri Yesuratnam, Pannala Mallikarjuna Sarma

“…The stability issues in such system are produced mainly due to unbalanced loading, distortion of load current and intermittent nature of renewable energy sources. …”
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Determining Factors Affecting Cooperative Membership of the Beekeepers Using Decision Tree Algorithms by Tayfun Çukur, Figen Çukur

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Improved Power Flow Algorithm for Distributed Ring Network Based on Loop Analysis by Si GU, Xiao SUN, Chang MA, Jing CHEN

“…The branch current was decomposed to compensate the split-point current, and the non-convergence phenomenon was changed. …”
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Research on Parameter Extraction Method of Photovoltaic Module Based on Improved Hybrid Algorithm by Haitao Wu, Zhou Shang

“…Through the algorithm proposed in this paper, the parameters of the equivalent circuit model of the photovoltaic module can be extracted by the open-circuit voltage, short-circuit current, and maximum power point current and voltage provided by the manufacturer. …”
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Compressed sensing subspace pursuit algorithm based on two stagewise weak selection by Bowei WANG, Jin TAN

“…Compressed sensing is a new way of signal sampling and data compression.The subspace pursuit algorithm has higher efficiency and precision in the compressed sensing reconstruction algorithms,but it needs the sparsity of the signal as a priori information.And if the sparsity estimation is not accurate enough,it will reduce the algorithm reconstruction effect.Aiming at this problem,a two stagewise weak selection-based subspace pursuit (TSWSP) algorithm was proposed,which didn’t need to know the sparsity of the signal in advance.The first weak selection adaptively selected the initial atom candidate set,and the second weak selection adaptively culled the wrong atoms that may had been previously selected from the current atom support set,and finally it selected a plurality of related atoms from the current atom candidate set to join the atom support set by the backtracking method.Simulation analysis shows that the proposed algorithm can reconstruct one-dimensional random signals and two-dimensional image signals accurately with unknown sparsity,and it has high stability,compared with OMP,SWOMP,BAOMP,SAMP and SP algorithm,the mean-square erroris reduced by 60.5% to 99.1%,the peak signal-to-noise ratio is improved by 2.1% to 34.3%.…”
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FUZZY ALGORITHM TO CONTROL REACTIVE POWER FLOW IN ELECTRIC NETWORK WITH NONLINEAR LOADS by H. B. Guliyev

“…The mentioned results demonstrate that when harmonic components of voltages exceed normative magnitudes, the use of the proposed algorithm eliminates additional loading on the capacitor banks with higher harmonic currents whereas the control procedure acquires quality, the number of commutations is being reduced, the capacitor battery functions longer and the probability of its malfunction decreases.…”
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A Novel Metaheuristic Jellyfish Optimization Algorithm for Parameter Extraction of Solar Module by Dilip Yadav, Nidhi Singh, Vikas Singh Bhadoria, Nimay Chandra Giri, Murthy Cherukuri

“…Five important parameters: the photoelectric current (Iph), ideality factor(α), saturation current (Io), series resistance (Rs), and shunt resistance (Rsh) are required for the accurate modeling of the PV cells/modules and need to be extracted as these parameters are not provided by the manufacturer in the datasheet. …”
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A new index‐based hyper‐heuristic algorithm for global optimisation problems by Mohammad Reza Hasanzadeh, Farshid Keynia, Maliheh Hashemipour

“…In this algorithm, the local and global search sections of its parent algorithms, are separated, and then based on a new indexing method in each iteration, according to the current population indexing, a global search and a local search are selected from the processes of its parent algorithms, and then the current population is updated with two selected sections. …”
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Design of digital low-carbon system for smart buildings based on PPO algorithm by Yaohuan Wu, Nan Xie

“…Abstract Currently, the carbon emissions from buildings account for one-third of the total global carbon emissions. …”
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Structural Parameter Design of Magnetic Pulse Welding Coil for Dissimilar Metal Joints: Numerical Simulation, Parameter Optimization, and Experiments by Yangfan Qin, Changhui Ji, Hao Jiang, Yuefan Jiang, Junjia Cui, Guangyao Li

“…This study proposes a structural parameter optimization of the MPW coil, with the objective of achieving a higher induced current density on the flyer plate. The optimal Latin hypercube sampling technique (OLHS), Kriging approximate model, and the Non-Linear Programming by Quadratic Lagrangian (NLPQL) algorithm were employed in the optimization procedure, based on the finite element model built in LS-DYNA. …”
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Adaptive Learning Algorithms for Personalized Education Systems Bridging Artificial Intelligence and Pedagogy by Endla Purushotham, N Jayapriya, P Savitha, M A Amarnath, Kumar Mahesh, G Simi Margarat

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ALGORITHM FOR PUBLIC-PRIVATE PARTNERSHIPS AS A FORM OF BUSINESS IN THE ENVIRONMENT NATIONAL PARKS by Gleb A. Sobolev

“…The article analyzes the current state ofthe public-private partnership in Russia;the algorithm of partnership betweenthe government and the private sectorto develop the business environment ofnational parks. …”
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MAOA: A Swift and Effective Optimization Algorithm for Linear Antenna Array Design by Anoop Raghuvanshi, Abhinav Sharma, Abhishek Kumar Awasthi, Abhishek Sharma, Rahul Singhal, Kim Soon Chong, Sew Sun Tiang, Wei Hong Lim

“…This paper presents the modified arithmetic optimization algorithm (MAOA), a swift and effective optimization algorithm specifically designed for electromagnetic applications. …”
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Migration and commuting interactions fields: a new geography with community detection algorithm? by Isabelle Thomas, Arnaud Adam, Ann Verhetsel

“…This perfectly fits with current political questioning.…”
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A Radial Memetic Algorithm to Resolve the No-Wait Job-Shop Scheduling Problem by Ricardo Pérez-Rodríguez

“…Such radial distribution is applied in the local optimization procedure of the memetic algorithm. A benchmarking dataset is used to show the performance of this new experimental technique, as well as other current procedures. …”
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Novel adaptive generalized principal component analysis algorithm based on Hebbian rule by Yingbin GAO, Xiangyu KONG, Qiaohua CUI, Haidi DONG

“…In order to adaptively estimate the generalized principal component from input signals,a novel generalized principal component analysis algorithm was proposed based on the Hebbian linear neuron model.Since the autocorrelation matrices of the signals were estimated directly from the sampled data at the current time,the proposed algorithm had low computation complexity.Trough analyzing all of the equilibrium points by Lyapunov method,it is proven that if and only if the weight vector in the neuron had the same direction with the generalized principal component,the proposed algorithm attains the convergence status.Simulation results shows that compared with some same type algorithms,the proposed algorithm has faster convergence speed.…”
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Service chain deployment algorithms for deterministic end-to-end delay upper bound by Ze’nan WANG, Jiao ZHANG, Shuo WANG, Tao HUANG, F.Richard Yu

“…To solve the problem that the current service chain deployment algorithms cannot guarantee the delay of each packet passing through the service chain (SC), a SC deployment algorithm for deterministic end-to-end delay upper bound was proposed.First, the end-to-end delay bound of the SC was derived based on network calculus.Then, the deterministic end-to-end delay bound of the SC was achieved by collaboratively optimizing the routing of SC and the resource allocation of the virtual network function nodes in the SC.The experimental results show that the proposed algorithm can effectively improve the volume of accepted SC while guaranteeing that the end-to-end delay of each packet satisfies the delay requirements.…”
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IMPROVED FUZZY-LOGIC ALGORITHM FOR CONTROL OF REACTIVE POWER AND VOLTAGE IN DISTRIBUTIVE NETWORKS by S. A. Perepelitsa, S. V Alekseeva, V. A. Sergunova

“…Description of formalized procedure pertaining to  fuzzy  regulator  in  the  form of  fuzzy  relations between controlled  (voltage) and controllable parameters of the network (current and reactive power of a condensator). An algorithm efficiency proposed for a fuzzy-logic regulator and used for regulation of static condensators has been shown on the basis of calculative experiments and an electric power network taken as an exemple…”
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Fault location and isolation technology for power grid automation based on intelligent algorithms by Qi Guo, Fuhe Wang, Suxia Cheng, Ke Wang, Yifan Zhang

“…Methodology The FLA algorithm uses a Support Vector Machine (SVM) classifier to predict fault locations based on key variables like voltage, current, frequency, line impedance, and meteorological conditions. …”
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Medical Diagnostic Systems Using Artificial Intelligence (AI) Algorithms: Principles and Perspectives by Simarjeet Kaur, Jimmy Singla, Lewis Nkenyereye, Sudan Jha, Deepak Prashar, Gyanendra Prasad Joshi, Shaker El-Sappagh, Md. Saiful Islam, S. M. Riazul Islam

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