Application of the Lagrange Equation for Intelligent Sensor Vibration Control for Power Network Monitoring by Xiaojing Cheng

“…Then, the control effect of the TMDI system is studied by numerical analysis, and the vibration reduction effect of the TMDI system and the tuned mass damper (TMD) system is compared. …”
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Towards Optimizing the Downlink Transmit Power in UAV-Integrated IRS Wireless Systems by Ali Reda, Tamer Mekkawy, Ashraf Mahran

“…In interference scenarios and with different numbers of IRS meta-atoms, the proposed algorithm achieves a power reduction of approximately 8 and 13 dBm, while maintaining the same required signal-to-interference-plus-noise ratio. …”
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A Triple-Optimized Extreme Learning Machine Model for Power Load Forecasting by Haoxiang Gao, Weixin Kang, Miao Fan

“…Electricity load forecasting constitutes a pivotal task in achieving an equilibrium between supply and demand within the power system, facilitating effective power grid dispatching, and ensuring the safe and stable operation of the grid. …”
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Hourly and Day Ahead Power Prediction of Building Integrated Semitransparent Photovoltaic System by S. Kaliappan, R. Saravanakumar, Alagar Karthick, P. Marish Kumar, V. Venkatesh, V. Mohanavel, S. Rajkumar

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Two-Stage Integrated Optimization Design of Reversible Traction Power Supply System by Xiaodong Zhang, Wei Liu, Qian Xu, Zhuoxin Yang, Dingxin Xia, Haonan Liu

“…The parallel cheetah algorithm is employed to solve this complex optimization problem. …”
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Active Shielding of Power Frequency Magnetic Field in Buildings in the Vicinity of the Electric Airlines by Kuznetsov B.I., Nikitina T.B., Bovdui I.V.

“…The multicriterion game solution depends on the multiswarm particles optimization algorithms. The initial parameters for the synthesis of the active shielding system are the location of the high voltage power lines with respect to the protected from transmission line space, geometry and number of buses, operating currents, as well as the size of the protected space and magnetic field induction normative value. …”
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Optimization Method of Generation Rights Transaction Mechanism for Power System Accommodation Improvement by Haoliang XU, Panrun JIN, Jiheng JIANG, Zongxiang LU, Ying QIAO

“…Then, the shaping effect of the power generation rights transaction on the wind power probability curve is discussed, followed by analyzing the relationship between wind curtailment reduction and three key parameters: transaction capacity, start-up wind power and daily transaction time. …”
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Optimization of Economic Space: Algorithms for Controlling Energy Storage in Low-Voltage Networks by Marcin Rabe, Tomasz Norek, Agnieszka Łopatka, Jarosław Korpysa, Veselin Draskovic, Andrzej Gawlik, Katarzyna Widera

“…Five services are planned for implementation: RES power stabilization; voltage regulation using active and reactive power; reactive power compensation; power stabilization of unstable loads; and power reduction on demand. …”
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GCB‐YOLO: A Lightweight Algorithm for Wind Turbine Blade Defect Detection by Zhiming Zhang, Chaoyi Dong, Ze Wei, Xiaoyan Chen, Weidong Zan, Yao Xue

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Internet of Things Security Detection Technology Based on Grey Association Decision Algorithm by Jie Chang, Xiaojun Zuo, Botao Hou, Lipeng Shi, Guanghua Zhang

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An Enhanced PSO-Based Clustering Energy Optimization Algorithm for Wireless Sensor Network by C. Vimalarani, R. Subramanian, S. N. Sivanandam

“…The performance metrics are evaluated and results are compared with competitive clustering algorithm to validate the reduction in energy consumption.…”
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Dynamic Beam Hopping Algorithm for LEO Satellite Systems Based on User Grouping by Qing SHU, Weibiao LI, Zuolin JIN, Zhong ZHENG, Yongbo ZHANG, Zesong FEI

“…., the number of concurrently serving users is increased.To address the above problems, it proposed a dynamic beam hopping (BH) scheme based on user grouping for communication service coverage.The proposed method utilized the sparsity of the angular domain channel distribution to adaptively divide user groups accorded to the beam direction where the user energy is maximum.The number of co-channel user groups was constrained by power and interference constraints, limiting the reduction of communication traffic delay, as power limitations on the satellite make the number of RF chains limited and increased the number of simultaneously served user groups increased the interference between user groups.So the BH scheme with beam cluster grouping was further proposed, when the beam clusters reduced the user delay by increased the number of users served at the same moment.Since the above problem was non-convex, it adopt a data-driven determinantal point process (DPP) learning method to simplify the beam scheduling in BH scheme.Simulation results showed that the dynamic BH algorithm based on user grouping could effectively reduce the average user delay by more than 52% compared with the single-beam scheme, also verifies the versatility of the DPP learning.…”
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C3-VQA: Cryogenic Counter-Based Coprocessor for Variational Quantum Algorithms by Yosuke Ueno, Satoshi Imamura, Yuna Tomida, Teruo Tanimoto, Masamitsu Tanaka, Yutaka Tabuchi, Koji Inoue, Hiroshi Nakamura

“…The C3-VQA precomputes a part of the expectation value calculations for VQAs and buffers intermediate values using simple bit operation units and counters in the cryostat, thereby reducing the required intertemperature bandwidth with small additional power consumption. Consequently, the C3-VQA reduces the number of wires, leading to a reduction in the total heat dissipation in the cryostat. …”
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Optimal Performance of PI Controller for AC Microgrid Based on Metaheuristic Optimization Algorithms by Ruqaya Majeed Kareem, Mohammed Kh. Al-Nussairi, Ramazan Bayindir

“…The simulation results demonstrated the significant superiority of the proposed methods, including the SMA, in terms of performance analysis standards, power deviations, frequency stability, voltage response, load-sharing balance, overshoot reduction, and improvement in settling time and rise time.…”
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DAG Based Multipath Routing Algorithm for Load Balancing in Machine-to-Machine Networks by Liang Liu, Tao Zhang, Jun Zhang

“…In M2M networks, most nodes are powered by battery; hence the overused nodes may easily be out of power, which causes the reduction of network lifetime. …”
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A novel approach to intrusion detection system using hybrid flower pollination and cheetah optimization algorithm by Deepshikha Kumari, Prashant Pranav, Abhinav Sinha, Sandip Dutta

“…A novel hybrid IDS model integrating the Flower Pollination Algorithm (FPA), Cheetah Optimization Algorithm (COA), and Artificial Neural Networks (ANN) is proposed to enhance detection accuracy, reduce false positives, and optimize feature selection, anomaly detection, and rule adaptation. …”
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Solving differential‐algebraic equations in power system dynamic analysis with quantum computing by Huynh T. T. Tran, Hieu T. Nguyen, Long T. Vu, Samuel T. Ojetola

“…These DAEs' complexity can grow exponentially due to the increasing penetration of distributed energy resources, whereas their computation time becomes sensitive due to the increasing interconnection of the power grid with other energy systems. This paper demonstrates the use of quantum computing algorithms to solve DAEs for power system dynamic analysis. …”
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Posterior Probability-Based Symbol Detection Algorithm for CPM in Underwater Acoustic Channels by Ruigang Han, Ning Jia, Yufei Liu, Jianchun Huang, Suna Qu, Shengming Guo

“…A sea trial further validates the algorithm, showing a 15.83% reduction in bit error rate after three information mergings.…”
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Next-Generation energy Management: Particle Density algorithm for residential microgrid optimization by Liang Wang, Nan Sun

“…Through scenario analysis, this research demonstrates the IPSO algorithm’s potential for significant cost reductions and improved grid stability. …”
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Multivariate machine learning algorithms for energy demand forecasting and load behavior analysis by Farhan Hussain, M. Hasanuzzaman, Nasrudin Abd Rahim

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