Safety Status Prediction Model of Transmission Tower Based on Improved Coati Optimization-Based Support Vector Machine by Xinxi Gong, Yaozhong Zhu, Yanhai Wang, Enyang Li, Yuhao Zhang, Zilong Zhang

“…Natural calamities have historically impacted operational mountainous power transmission towers, including high winds and ice accumulation, which can result in pole damage or diminished load-bearing capability, compromising their structural integrity. …”
Get full text

Eecs-fl: energy-efficient client selection for federated learning in AIoT by Yiyang Zhang, Yiming Luo, Tao Yang, Xiaofeng Wu, Bo Hu

“…Experimental results show that incorporating WPT leads to a reduction in unit energy consumption by over 24.54%; while, the proposed algorithm achieves a reduction of over 15.31% compared to random selection. …”
Get full text

An Application of Ant Colony-Fuzzy Logic Controller for Shunt Active Filter in PV-UPQC by K. Sahithi, N. Yadaiah

“…The Shunt Active Power Filter (SAPF) is controlled using Ant Colony Optimization (ACO), a warm-based algorithm that draws inspiration from how ants forage for food. …”
Get full text

Transactive energy management for efficient scheduling and storage utilization in a grid-connected renewable energy-based microgrid by Peter Anuoluwapo Gbadega, Olufunke Abolaji Balogun

“…This underscores the critical role of energy storage in stabilizing costs and reducing reliance on grid power during high-price intervals. Additionally, the inclusion of storage contributes to 25–38% emission reductions by enhancing renewable energy utilization and minimizing dependency on fossil-fuel-generated electricity. …”
Get full text

Dry-Type Air-Core Series Reactor Turn-to-Turn Short Circuit Fault Detection Method Based on Multi-Parameter Data Fusion by WANG Yin, WANG Yuanyuan, CAO Chengjun, ZHANG Lizhi, YIN Youpeng, JI Hongzhen, DOU Di

“…Subsequently， the denoised features with high saturation are input into the k-nearest neighbors （KNN） algorithm to construct a fault identification and classification model. …”
Get full text

Research of current distribution by phases in asynchronous electric motor with a combined winding by E. I. Gracheva, T. V. Tabachnikova, L. V. Shvetskova

“…The search for optimal voltage value of power supply center must be carried out by numerical methods with involvement of a software product that allows use of search algorithms.RESULTS. …”
Get full text

Enhanced variable step sizes perturb and observe MPPT control to reduce energy loss in photovoltaic systems by Abdelkadir Belhadj Djilali, Elhadj Bounadja, Adil Yahdou, Habib Benbouhenni, Z. M. S. Elbarbary, Ilhami Colak, Saad F. Al-Gahtani

“…MATLAB simulations show that the new method significantly outperforms conventional methods, achieving a relative improvement in performance and an 80% reduction in power ripples under varying conditions. …”
Get full text

RECONFIGURATION OF THE AIRCRAFT INTEGRATED CONTROL SYSTEM REGARDING CONTROL CONSTRAINTS UNDER ACTUATOR FAILURES by A. M. Kulchak, V. V. Kosyanchuk, E. Yu. Zybin

“…This allows for a multistep consistent reduction in power and increasing in error of reconfiguration, until an acceptable solution is obtained. …”
Get full text

Enabling Low-Carbon Transportation: Resilient Energy Governance via Intelligent VPP and Mobile Energy Storage-Driven V2G Solutions by Guwon Yoon, Myeong-in Choi, Keonhee Cho, Seunghwan Kim, Ayoung Lee, Sehyun Park

Get full text

Control of multi-level quadratic DC-DC boost converter for photovoltaic systems using type-2 fuzzy logic technique-based MPPT approaches by Souheyb Mohammed Belhadj, Bouziane Meliani, Habib Benbouhenni, Sarra Zaidi, Z.M.S. Elbarbary, Mohammed M. Alammer

“…High-gain DC-DC converters like the TLQDC-DCBC are beneficial in PV applications as they boost low PV voltages to higher levels, thereby reducing power losses and improving overall efficiency. The proposed MPPT-T2FLC addresses key limitations of traditional MPPT methods, including the oscillations near the maximum power point (MPP) in incremental conductance (IC) algorithms and the reduced precision of type-1 fuzzy logic (T1FL) controllers under uncertain environmental conditions. …”
Get full text

A new deep learning-based fast transcoding for internet of things applications by Jia Yang, Yonghong Peng, Linbo Qing, Yajuan Xue, Hong Yang

“…Abstract To achieve low-power video communication in Internet of Things, this study presents a new deep learning-based fast transcoding algorithm from distributed video coding (DVC) to high efficiency video coding (HEVC). …”
Get full text

Optimal control for fixed and inverter air conditioning groups considering interaction willingness in scenarios by Ting YANG, Xiao ZHU, Danhong LU, Yuying WANG, Yan LI, Aidong ZENG

Get full text

Harmonized Integration of GWO and J-SLnO for Optimized Asset Management and Predictive Maintenance in Industry 4.0 by A. N. Arularasan, P. Ganeshkumar, Mohammad Alkhatib, Tahani Albalawi

“…In this sense, GWO results in an execution time reduction between 13 and 31%, whereas, in J-SLnO, there is an execution time reduction of 16–33%. …”
Get full text

A new smart charging electric vehicle and optimal DG placement in active distribution networks with optimal operation of batteries by Bilal Naji Alhasnawi, Marek Zanker, Vladimír Bureš

“…The proposed method finds reductions of about 6.83 % in power losses using AOA, reductions of about 17.92 % in power losses using IBWO, reductions of about 22.69 % in power losses and reductions of about 25.43 % in CO2 emissions using MGO, when compared to the benchmark case in the IEEE 33-bus network. whereas the proposed method finds reductions of about 1.31 % in power losses using AOA, reductions of about 15.85 % in power losses using IBWO, reductions of about 19.48 % in power losses and reductions of about 23.27 % in CO2 emissions using MGO, when compared to the benchmark case in the IEEE 85-bus network.…”
Get full text

10 MW FOWT Semi-Submersible Multi-Objective Optimization: A Comparative Study of PSO, SA, and ACO by Souleymane Drabo, Siqi Lai, Hongwei Liu, Xiangheng Feng

“…In the post-processing phase, the performances of the optimized FOWT platforms were thoroughly compared both among themselves and with the original model, resulting in validation. Finally, the ACO algorithm delivered a highly effective solution within the framework, achieving reductions of 19.8% in weight, 40.1% in pitch, and 12.7% in stress relative to the original model.…”
Get full text

Dynamic Control and Analysis of Dual Active Bridge Converters in Grid-Connected PV-BESS by Mehmet Can Sekanli, Samet Yalçin, Okan Bingol

“…The system was modelled using MATLAB/Simulink, with specifications including a 36-kW PV array, a 162-kWh battery, and a bidirectional power capability of 18 kW. The Perturb & Observe (P&O) Maximum Power Point Tracking (MPPT) algorithm optimized power extraction from the PV array, while the DAB converter employed Single Phase Shift (SPS) control for efficient, bidirectional energy management. …”
Get full text

Optimizing Techno-Economic Framework of REGs in Capacitive Supported Optimal Distribution Network by G. Srinivasan, Kumar Reddy Cheepati, B. Srikanth Goud, Mohammed Alqarni, Basem Alamri, Ch. Rami Reddy

“…The optimal energy has been purchased from the Independent Power Producers (IPPs). Besides, the Levy Flight Mechanism (LFM) integrated Seagull Optimization Algorithm (SOA) has been applied to solve the Economic Based Objective Function. …”
Get full text

Multi-objective design of fractional frequency-load control for hydro-thermal system considering nonlinear models and uncertainty by Xiaotong Ji, Heng Luo, Kan Cao, Dan Liu, Ping Xiong

“…One of the crucial quantities in the power system problem is frequency, which should never exceed its nominal value. …”
Get full text

Reinforcement learning energy management control strategy of electric tractor based on condition identification by Liqiao Li, Jiangchun Chen, Jing Nie, Zongyu Gao

“…The historical driving data are used to construct the driving conditions of ET and obtain the Markov power state transfer probability matrix(MPSTPM) under different CI; Second, to minimize the energy consumption of lithium-titanate battery and supercapacitor hybrid power system(HPS), the power allocation strategy for ET under different CI is obtained by a Q-network RL algorithm; Finally, an learning vector quantization neural network(LVQNN) is used to identify the current ET driving CI through online and real-time, and the control system makes real-time power output decision through the current driving CI. …”
Get full text

Non-intrusive Load Decomposition Model Based on Deep Fusion of Multi-modal Integration by YAO Gang, WANG Yun, WANG Yuanliang, SONG Zihao

Get full text