Design and Implementation of Hybrid GA-PSO-Based Harmonic Mitigation Technique for Modified Packed U-Cell Inverters by Hasan Iqbal, Arif Sarwat

“…Multilevel inverters have gained importance in modern power systems during the last few years because of their high power quality with lower THD. …”
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The Prospects for Wind Energy Development in the Republic of Belarus by Y. S. Petrusha, N. A. Papkova

“…However, the rigor of the operation requirements of wind turbines as part of power systems, low density of the flow of primary energy source and the lack of control of it, low utilization of installed capacity, limited operating life, shutdowns in the conditions of squally gusts of wind and ice formation, large areas of alienated land, the impact of noise and infrasonic vibrations and the problems of utilization of large-size structural elements and foundations require a comprehensive analysis of conditions of wind turbines application. …”
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International Course to Support Nuclear Licensing by User Training in the Areas of Scaling, Uncertainty, and 3D Thermal-Hydraulics/Neutron-Kinetics Coupled Codes: 3D S.UN.COP Semi... by Alessandro Petruzzi, Francesco D'Auria, Tomislav Bajs, Francesc Reventos, Yassin Hassan

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Homogenized Point Mutual Information and Deep Quantum Reinforced Wind Power Prediction by W. G. Jency, J. E. Judith

“…Accurate wind power prediction is very predominant for genuine and effective power systems with high wind power perception. Wind power prediction, as well as wind power generation resources, receives the electrical energy by converting wind into rotational energy of the blades and converting rotational energy into electrical energy by the generator. …”
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Investigation of the Composite Motor Load in the Presence of Higher Harmonics in the Electrical Network by Ya. E. Shklyarskiy, K. K. Lobko, Yu. N. Kuznetsova, M. S. Vorobyov

“…The simulation was carried out in the MATLAB Simulink environment, with the use of the Specialized Power Systems library, in which a simulation model with motors and a source of harmonic distortion was developed. …”
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A Uniform Robust Exact Differentiator Based Neuro-Fuzzy Fractional Order Sliding Mode Control for Optimal Standalone Solar Photovoltaic System by Safeer Ullah, Ahmed S. Alsafran, Ambe Harrison, Ghulam Hafeez, Abouobaida Hassan, Baheej Alghamdi, Habib Kraiem

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Scientific and Methodological Bases of Exergetic Analysis of the Processes of Heat Treatment of Concrete Products in Heat Technology Installations. Part 1 by V. N. Romaniuk, A. M. Niyakovskii

“…Having proven its effectiveness in finding the best options for energy supply and energy consumption the exergetic method of thermodynamic analysis of complex heat and power systems has been widely recognized in recent years. …”
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Planning the Production Power of Thermal, Wind and Solar Units Using the Sine Cosine Algorithm by Majid Khalili, Javad Nikoukar

“…Dynamic production power planning to meet hourly load demand is one of the important issues in production management and operation of power systems. In this article, the problem of optimal load dispatch considering transmission network losses, considerations and practical limitations of thermal power plants such as increasing and decreasing ramp rates, prohibited production areas, steam valve effect with the combination of renewable resources including wind farms and solar units has been raised.Renewable energy sources have reduced environmental pollution due to the non-use of fossil fuels, but these sources have uncertainty and random nature in production. …”
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Forecasting GIC Activity Associated With Solar Wind Shocks for the Australian Region Power Network by R. A. Marshall, E. A. Pearce, C. L. Waters, M. Terkildsen

“…This paper describes the results of a study into the relationship between the driver of SIs, solar wind shocks, and their potential impact on power systems in the Australian region, as quantified by a GIC‐index. …”
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Adaptive High-Performance Optimization Tool for Real-Time Operation of Renewable-Based Virtual Power Plants by Oluwaseun Oladimeji, Alvaro Ortega, Lukas Sigrist, Bogdan Marinescu, Vinu Thomas

“…The increasing integration of Renewable Energy Sources (RESs) into power systems introduces challenges due to their intermittent nature. …”
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A Hybrid Three-Staged, Short-Term Wind-Power Prediction Method Based on SDAE-SVR Deep Learning and BA Optimization by Ruiqin Duan, Xiaosheng Peng, Cong Li, Zimin Yang, Yan Jiang, Xiufeng Li, Shuangquan Liu

“…Wind power prediction (WPP) is necessary to the safe operation and economic dispatch of power systems. In order to improve the prediction accuracy of WPP, in this paper we propose a three-step model named SDAE-SVR-BA to be applied in short-term WPP based on stacked-denoising-autoencoder (SDAE) feature processing, bat algorithm (BA) optimization and support vector regression (SVR). …”
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An Integrated Strategy for Hybrid Energy Storage Systems to Stabilize the Frequency of the Power Grid Through Primary Frequency Regulation by Dan Zhou, Zhiwei Zou, Yangqing Dan, Chenxuan Wang, Chenyuan Teng, Yuanlong Zhu

“…As the penetration of renewable energy sources (RESs) in power systems continues to increase, their volatility and unpredictability have exacerbated the burden of frequency regulation (FR) on conventional generator units (CGUs). …”
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Independent Component Analysis-Based Harmonic Transfer Impedance Estimation for Networks with Multiple Harmonic Sources by Mateus M. de Oliveira, Leandro R. M. Silva, Igor D. Melo, Carlos A. Duque, Paulo F. Ribeiro

“…This paper presents a novel methodology to estimate the harmonic transfer impedances in electric power systems with multiple harmonic sources (HSs). The purpose is to determine the responsibility of each HS for the total harmonic distortion at a specific bus within the system, addressing a critical issue in the power quality field. …”
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An Ultra‐Short‐Term Multi‐Step Prediction Model for Wind Power Based on Sparrow Search Algorithm, Variational Mode Decomposition, Gated Recurrent Unit, and Support Vector Regressio... by Yulong Chen, Xue Hu, Xiaoming Liu, Lixin Zhang

“…ABSTRACT Accurate ultra‐short‐term wind power prediction techniques are crucial for ensuring the efficient and safe operation of wind farms and power systems. Combined models based on data decomposition‐prediction techniques have shown excellent performance in ultra‐short‐term wind power forecasting. …”
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Study on the insulation performance of C5F10O gas mixture in cold climates by Runlong Zhang, Xiaohui Zhang, Zhilei Xu, Keliang Dong, Jinfeng Zheng, Shicheng Feng, Zhaolin Zhou, Hui Zhu

“…Gas-insulated switchgear (GIS) is essential for the safe, stable, and efficient operation of high-voltage power systems. Insulating gas plays a critical role in achieving electrical insulation and stable operation in GIS equipment. …”
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Robotic Systems for Hand Rehabilitation—Past, Present and Future by Bogdan Gherman, Ionut Zima, Calin Vaida, Paul Tucan, Adrian Pisla, Iosif Birlescu, Jose Machado, Doina Pisla

“…Significant opportunities remain to improve device functionality, usability, and therapeutic effectiveness, as well as to implement advanced power systems for portable devices.…”
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Preparation and mechanical-electrical characterization of new complex-phase conductive concrete by Shicheng Feng, Xiaohui Zhang, Zhilei Xu, Keliang Dong, Jinfeng Zheng, Runlong Zhang, Zhaolin Zhou, Xuan Wang

“…Relevant research provides a theoretical reference for guaranteeing the safe operation of power systems.…”
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Reduction of NOx and SO2 Emissions by Shore Power Adoption by Duy-Hieu Nguyen, Chitsan Lin, Nicholas Kiprotich Cheruiyot, Jen-Yu Hsu, Ming-Yuan Cho, Shih-Hsien Hsu, Chin-Ko Yeh

“…Abstract Shore power systems, an alternative energy source to ships at berth, have the potential to improve air quality at ports and surrounding areas. …”
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TDCN: A novel temporal depthwise convolutional network for short-term load forecasting by Mingping Liu, Chenxu Xia, Yuxin Xia, Suhui Deng, Yuhao Wang

“…However, with the growing integration of renewable energy sources like wind power and photovoltaics, load data have become increasingly complex and nonlinear, making accurate forecasting a challenging task in modern power systems. While numerous STLF models have been developed, many of these models are complex hybrid structures that struggle with issues such as overfitting, stacking errors, high computational costs, and suboptimal generalization. …”
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Comparative Analysis of Energy Storage Technologies for Microgrids by Mohamed Haikel Chehab, Chokri Ben Salah, Ruben Zieba Falama, Mehdi Tlija, Abdelhamid Rabhi

“…One of the biggest challenges in MGs is the optimal choice of the BESS that can lead to better performance of the MG, which will be more flexible, efficient, and effective than traditional power systems. In this paper, we present the modeling and simulation of different energy storage systems including Li-ion, lead-acid, nickel cadmium (Ni-Cd), nickel-metal hybrid (Ni-Mh), and supercapacitor (SC), for renewable energy applications, and more specifically for MGs. …”
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