Event-Type Identification in Power Grids Using a Spectral Correlation Function-Aided Convolutional Neural Network by Ozgur Alaca, Ali Riza Ekti, Jhi-Young Joo, Nils Stenvig

“…IEEE Open Access Journal of Power and Energy…”
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Graphon Neural Networks-Based Detection of False Data Injection Attacks in Dynamic Spatio-Temporal Power Systems by Rachad Atat, Abdulrahman Takiddin, Muhammad Ismail, Erchin Serpedin

“…IEEE Open Access Journal of Power and Energy…”
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High-Efficiency Partial Power Converter for Integration of Second-Life Battery Energy Storage Systems in DC Microgrids by Naser Hassanpour, Andrii Chub, Neelesh Yadav, Andrei Blinov, Dmitri Vinnikov

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High-Frequency Power Reflects Dual Intentions of Time and Movement for Active Brain–Computer Interface by Jiayuan Meng, Xiaoyu Li, Simiao Li, Xinan Fan, Minpeng Xu, Dong Ming

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Support vector machine based fast Monte Carlo reliability evaluation method for composite power system by Yuxiao LEI, Gengfeng LI, Yuxiong HUANG, Zhaohong BIE

“…A fast Monte Carlo reliability evaluation method for composite power system based on support vector machine (SVM) was proposesd.Firstly,sample data for training the SVM model was obtained by enumerating component failures and calculating the corresponding minimum load shedding.Then,the SVM algorithm was used to mine the nonlinear mapping relationship between component failures and minimum load shedding,and the minimum load shedding estimation model was trained.Finally,the model was combined with the Monte Carlo simulation.By randomly sampling component states,for each state,the estimation model obtained by the training directly gave the minimum load shedding,thereby achieving a rapid assessment of the reliability of the composite power system.The proposed method is applied to the IEEE RTS 79 system,which verifies its effectiveness.…”
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AC Optimal Power Flow: a Conic Programming relaxation and an iterative MILP scheme for Global Optimization by Oustry, Antoine

“…Leveraging these Conic Programming constraints, we dynamically generate Mixed-Integer Linear Programming (MILP) relaxations, whose solutions asymptotically converge to global minimizers of the AC Optimal Power Flow problem. We apply this iterative MILP scheme on the IEEE PES PGLib [2] benchmark and compare the results with two recent Global Optimization approaches.…”
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Static Stability Analysis Based on Probabilistic Power Flow Calculation considering P2G Technology by Jia Yao, Yujia Huang, Jingwei Hu

“…The applicability of proposed methodology is demonstrated by analyzing an integrated IEEE 14-bus power system and a Belgian 20-node gas system in this paper.…”
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Power Loss Reduction and Reliability Improvement of Radial Distribution Systems Using Optimal Capacitor Placement Technique by Mohanad Muneer Yaqoob, Ali Nasser Hussain, Wathiq Rafa Abed, Daniel Augusto Pereira

“… Improving reliability and power quality in Radial Distribution Systems (RDS) is of large significance to ensure the provision of electricity within a reliable and acceptable standard to consumers with increasing load requirements. …”
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N − 1 Security Criteria Based Integrated Deterministic and Probabilistic Framework for Composite Power System Reliability by Tanmay Jain, Kusum Verma, Mahendra Bhadu

“…Unpredictable variations in load demand and unanticipated component failures are progressively impacting the operation of modern power systems, making system evaluation more stochastic in nature. …”
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Optimal active and reactive power dispatch in the presence of wind farms using voltage indicators and metaheuristic methods by Cherkaoui Nazha, Belfqih Abdelaziz, Hadjoudja Abdelkader

“…Besides, wind farms reactive power injection is determined. To verify the proposed algorithm, a 40 MW wind farm (WF) made up of doubly fed induction generator (DFIG) and the 14 IEEE bus system are used. …”
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Maintenance Scheduling of Wind Units from the Power Plant Owner’s Perspective with the Objective of Minimizing Economic Loss by Amir Allame, Asghar Akbari Foroud

“…Subsequently, the estimated power generation of wind turbines is calculated by referencing the power curve specific to these turbines. …”
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Exponential function LMS and fractional order pid based voltage power quality enhancement in distribution network by Prashant Kumar, Sabha Raj Arya

“…The complexity of distribution power system becomes a menace for utility person and causing severe power quality issues. …”
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High Efficiency Class-F Rectifier Based on Harmonic-Controlled Voltage Doubler With Extended Input Power and Frequency Range by Jaemin Shin, Juntaek Oh

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Spectra Narrowing of a 976 nm High Power External-Cavity Semiconductor Laser Based on a Transmission Grating by Di Xin, Nihui Zhang, Lingqian Meng, Qinghao Zhao, Weiqiao Zhang, Fengxin Dong, Xuyan Zhou, Hongbo Zhang, Wanhua Zheng

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A two‐stage reactive power optimization method for distribution networks based on a hybrid model and data‐driven approach by Ghulam Abbas, Wu Zhi, Aamir Ali

“…Then, neural networks are trained to map node power to the optimal reactive power outputs of renewable energy units, capturing the complex physical relationships. …”
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Automotive Electric Power Steering Control With Robust Observer Based Neuroadaptive Type-2 Radial Basis Function Methodology by Abdollah Amirkhani, Masoud Shirzadeh, Jamshid Heydari

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State Estimation in Power Systems Under Random Data Attack Using Correlation Matching, Semidefinite Relaxation, and Truncated Eigenvalue Decomposition by Bamrung Tausiesakul, Krissada Asavaskulkiet, Chuttchaval Jeraputra, Ittiphong Leevongwat, Thamvarit Singhavilai, Supun Tiptipakorn

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EduCardia: A Modern Technology-Powered Methodology for the Assessment and Improvement of Social and Emotional Competencies of Students in K12 Schools by Eleni Fotopoulou, Elia Lopez Cassa, Lydia Mavraidi, Julia Peris, Anastasios Zafeiropoulos, Adina Colomeischi, Christina Papasolomontos, Symeon Papavassiliou

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A Novel Algorithm for Aspect Ratio Estimation in SRAM Design to Achieve High SNM, High Speed, and Low Leakage Power by Sanket M. Mantrashetti, Arunkumar P Chavan, Prakash Pawar, H. V. Ravish Aradhya, Omkar S. Powar

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Anomaly Detection and Business Process Orchestration for Low-Code Platform in Power System Based on Deep-Cross Model With Data Balancing by Jin Huang, Ming Sheng Xu, Chang Ming Zhu, Guo An Wang

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