Optimal Integration of Multiple Shunt Reactive Compensators in Radial Distribution Systems for Loss Reduction using Modified Mountain Gazelle Optimizer (MMGO) by A. F. S. Yussif, E. Twumasi, E. A. Frimpong

“…The proposed MMGO produced 34.05% and 35.45% reductions in active power losses in the IEEE 33 and 69 bus systems respectively. …”
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Improvement of Positive and Negative Feedback Power Hardware-in-the-Loop Interfaces Using Smith Predictor by Lucas Braun, Jonathan Mader, Michael Suriyah, Thomas Leibfried

“…Power hardware-in-the-loop (PHIL) creates a safe test environment to connect simulations with real hardware under test (HuT). …”
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Multi-source Partial Discharge Pulse Classification Technology Based on t-SNE and CFSFDP Algorithms by Qiang SHI, Kun LIU, Jinsong LI, Fuchao LI

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Distributed energy sharing algorithm for Micro Grid energy system based on cloud computing by Wenwei Su, Yan Shi

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Battery Energy Storage System Contribution to Primary Frequency Control in Isolated Power Systems by Muhammad Asad, Giulia Tresca, Pericle Zanchetta, Jose Angel Sanchez-Fernandez

“…Increased renewable energy penetration into conventional power plants results in significant frequency regulation (FR) problems, particularly at island power systems. …”
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Calculation Model of Multi-roll Straightening Process Based on Bilinear Hardening and Power Hardening by ZHU Xiaoyu, CHENG Zixing, WANG Xiaogang, HAN Peisheng

“…Particularly in schemes four and five, commonly used in practice, the residual curvature error for the ideal model is 6.06%, whereas for the power model it is 13.57%. As both the strengthening coefficient and reduction increase, differences in plasticity between hardened and ideal models become more pronounced. …”
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Electromyogram based muscle stress estimation of Gastrocnemius medialis using Machine learning algorithms by Amol Kumar, Manoj Duhan, Poonam Sheoran

“…The present study has been undertaken to analyze lower limb muscle stress of gastrocnemius medialis without and with a workout (exercise) using machine learning algorithms. Ten healthy subjects (Seven male & three female) have been chosen on the basis of their age, height and mass. …”
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Signal-piloted processing and machine learning based efficient power quality disturbances recognition. by Saeed Mian Qaisar

“…Significant losses can occur for various smart grid stake holders due to the Power Quality Disturbances (PQDs). Therefore, it is necessary to correctly recognize and timely mitigate the PQDs. …”
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Maintenance Analysis Method Based on Big Data Processing Technology in Power Telecommunication Network by Zhimin Yang, Bin Wu, Ran Shu

“…The characteristics of power communication network equipment's maintenance,alarm and asset data were analyzed,and then the data preprocessing work was done by adopting attributes reduction and clustering method.The related index and influencing factors required by the analysis of equipment repair work were proposed.Meanwhile,the data mining method which combines the techniques of MapReduce and Apriori algorithms was presented.Finally,the proposed data mining method was applied to mine the actual network data.According to the mined results,the network maintenance work was analyzed from the perspectives of maintenance distribution,maintenance effectiveness on operated service,maintenance time-cost and so forth.…”
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Maintenance Analysis Method Based on Big Data Processing Technology in Power Telecommunication Network by Zhimin Yang, Bin Wu, Ran Shu

“…The characteristics of power communication network equipment's maintenance,alarm and asset data were analyzed,and then the data preprocessing work was done by adopting attributes reduction and clustering method.The related index and influencing factors required by the analysis of equipment repair work were proposed.Meanwhile,the data mining method which combines the techniques of MapReduce and Apriori algorithms was presented.Finally,the proposed data mining method was applied to mine the actual network data.According to the mined results,the network maintenance work was analyzed from the perspectives of maintenance distribution,maintenance effectiveness on operated service,maintenance time-cost and so forth.…”
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AOF: An adaptive algorithm for enhancing RPL objective function in smart agricultural IoT networks by Abubakar Wakili, Sara Bakkali

“…Within the Internet of Things (IoT) ecosystem, the Routing Protocol for Low-Power and Lossy Networks (RPL) serves as a foundational element for network communication. …”
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Neutrosophic Fuzzy Power Management (NFPM): Tackling Uncertainty in Energy Harvesting for Sensor Networks by Musallam M. AlZubi, Mohamed A. Mohamed, Hanan M. Amer, A. A. Salama

“…The results are validated through numerical examples and extensive simulations, demonstrating NFPM's superiority over traditional fuzzy logic, with significant improvements such as a 25% reduction in power failures, 95% enhanced network connectivity, a 15% increase in data transmission success rates, and overall improvements in energy efficiency and robustness to fluctuations and noise. …”
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An Investigation into the Saliency Ratio of Fractional-Slot Concentrated-Winding Generators for Offshore Wind Power by Isaac Rudden, Guang-Jin Li, Zi-Qiang Zhu, Alexander Duke, Richard Clark

“…Compared to a 3 MW FSCW baseline, the optimized designs show stator power reductions of 3.40% and 6.16% for saliency ratios of 1.15 and 1.2, respectively.…”
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Sunflower-based butterfly optimization algorithm with enhanced RNN for the harmonics elimination in multilevel inverter by V. Mohan, G. Krithiga, M. Thamil Alagan, V. Sathya

“…Abstract Multilevel inversion describes a power conversion technique that reduces Total Harmonic Distortion (THD) by gradually increasing the output voltage and approaching a sine wave. …”
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Remaining useful life prediction of Lithium-ion batteries based on data preprocessing and CNN-LSSVR algorithm by Ti Dong, Yiming Sun, Jia Liu, Qiang Gao, Chunrong Zhao, Wenjiong Cao

“…In this work, the feasibility of the method is verified using publicly available datasets and compared with other common noise reduction and prediction algorithms after noise reduction and prediction experiments. …”
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Research on Reactor Radiation Shielding Optimization Method Based on Multi-objective Evolutionary Algorithm by LIU Chengwei1, 2, CHEN Zhenping1, 2, , YANG Chao1, 2, ZHANG Huajian1, 2, SUN Aikou1, 2, LEI Jichong1, 2, YU Tao1, 2

“…This paper introduced two multi-objective evolutionary algorithms, utilizing a non-dominated sorting genetic algorithm (NSGA-Ⅲ) based on reference point selection and a multi-objective artificial bee colony (MOABC) algorithm based on crowding distance selection. …”

Research on Multi-Objective Optimization of Helical Gear Shaping Based on an Improved Genetic Algorithm by Shengmao Zhou, Dehai Zhang

“…In contrast, the improved genetic algorithm achieved greater reductions of 26.34% and 27.2%, respectively. …”
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Adaptive Control and Market Integration: Optimizing Distributed Power Resources for a Sustainable Grid by Josue N. Otshwe, Bin Li, Songsong Chen, Feixiang Gong, Bing Qi, Ngouokoua J. Chabrol

“…Distributed power resources (DPRs) offer a transformative opportunity to improve the efficiency, sustainability, and reliability of modern power infrastructures through their integration. …”
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A New Model for Enhancing Efficiency in On-Chip Optical ‎Networks Based on Adaptive Routing Algorithm.‎ by Mohammadreza Hemmati, Sayed Mohammad Ali Zanjani, Elham Yaghoubi

“…The lower power consumption, larger communication bandwidth, and reduced latency are advantages of optical networks over electrical communications. …”
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Maximum Power Exploitation of Photovoltaic System under Fast-Varying Solar Irradiation and Local Shading by Yi-Jui Chiu, Bi Li, Chin-Ling Chen, Shui-Yang Lien, Ding Chen, Ji-Ming Yi, Yung-Hui Shih

“…Finally, an improved MPPT system with the PF-MPPT algorithm was proposed to solve the problem of the significant reduction of the output power of a PV system under fast-varying solar irradiation and local shading. …”
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