A multi-attention TCN based electricity price forecasting method considering high proportion of wind power fluctuation by LI Zikai, YANG Bo, ZHOU Zhongtang, LI Xin, CHEN Fengwei, JIAO Runhai

“…This paper analyzes the cyclical characteristics of electricity prices, focusing on the impact of wind power fluctuations on electricity prices. Using load and wind power, a new feature is constructed to characterize the impact of variations in electricity generation capacity of other high-cost power generation methods on electricity prices. …”
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Modular nine-level single-phase inverter with quadruple voltage gain using reduced blocking voltage switches by V. Fernão Pires, Armando Cordeiro, Daniel Foito, Joaquim Monteiro, Hao Chen, J. Fernando Silva

“…The suggested solution includes a transformerless, single-phase, nine-level voltage source inverter that cuts down on the number of passive parts that are needed while still achieving a high-voltage gain of up to four times the input DC voltage sources. An essential feature of this topology is that all the switches are subjected to a maximum blocking voltage four times lower than the maximum AC voltage that can be applied to the load. …”
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A New PWM Technique With Single Phase Switched-Capacitor High-Gain Multilevel Inverter for Photovoltaic Applications by Oorappan G. Murugan, Sivaraman Pandarinathan, S. A. Lakshmanan, C. Dhanamjayulu, S. M. Muyeen

“…Moreover, experimental results confirm the efficacy of the MLI across diverse scenarios, linear and nonlinear loads, as well as dynamic testing conditions for harnessing Photovoltaic (PV) power. …”
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Designing of a Simulation Tool for the Performance Analysis of Hybrid Data Center Networks (DCNs) by Muhib Ahmad, Farrukh Zeeshan Khan, Zeshan Iqbal, Muneer Ahmad, Ihsan Ali, Sultan S. Alshamrani, Muhammad Talha, Muhammad Ahsan Raza

“…Our main purpose is to focus on mean waiting time, load, and blocking with respect to the traffic within the DCN.…”
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Power Quality State Estimation for Distribution Grids Based on Physics-Aware Neural Networks—Harmonic State Estimation by Patrick Mack, Markus de Koster, Patrick Lehnen, Eberhard Waffenschmidt, Ingo Stadler

“…Compared to high-voltage grids, distribution grids feature a higher level of complexity. Monitoring all relevant nodes is operationally infeasible and costly. …”
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LiteTom-RTDETR: A Lightweight Real-Time Tomato Detection System for Plant Factories by Wenshuai Liu, Qingzheng Liu, Wenyong Quan, Junli Wang, Xiaomin Yao, Qiang Liu, Yuxiang Tian

“…Furthermore, a context guide fusion module was designed to enhance multiscale feature extraction efficiency, and an adaptive sliding weight mechanism was integrated into the loss function to mitigate class-imbalance issues. …”
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Nonalcoholic Fatty Liver Disease in Chronic Hepatitis B and C Patients from Western Amazon by A. C. M. Nascimento, D. R. Maia, S. M. Neto, E. M. Lima, M. Twycross, R. F. Baquette, C. M. O. Lobato

“…Our results suggest that steatosis is a common feature in patients with viral chronic hepatitis, and that it plays a different role in each type of hepatitis.…”
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Bionic Design for Reducing Adhesive Resistance of the Ridger Inspired by a Boar’s Head by Jianqiao Li, Yunpeng Yan, Benard Chirende, Xuejiao Wu, Zhaoliang Wang, Meng Zou

“…The main feature of the boar’s head used to root around for food is the front part, which is similar to the ridger in terms of function, load, and environment. …”
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An Ensemble-Based Classifier to Determine the Harmonic Contribution Responsibility Between Utility’s Grid and Microgrids by Matheus C. Mella, Ricardo A. S. Fernandes, Daniel Barbosa

“…The integration of nonlinear loads and distributed energy resources in microgrids (MG) has increased the levels of harmonic distortions in distribution feeders. …”
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Mathematical Modelling Approaches for Integrated Single Machine Scheduling and Electric Vehicle Routing Problem by İclal Bağcı, Hande Öztop, Zeynel Abidin Çil

“…Due to various charging feature constraints, EVRP diverges from the classical vehicle routing problem (VRP) and becomes more complex. …”
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Identification of multiple power quality disturbances in hybrid microgrid using deep stacked auto-encoder based bi-directional LSTM classifier by Ravi Kumar Jalli, Lipsa Priyadarshini, P.K. Dash, Ranjeeta Bisoi

“…The proposed BILSTM classifier captures the temporal features and their long term dependencies from the processed PF data samples and detects single and simultaneously occurring twenty complex power quality disturbances in the grid connected mode and five PQDs during uncertain PV insolence variation and load and capacitor switching during islanded mode of microgrid operation with significant accuracy of 99.90%.…”
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Experimental Investigation of the Shear Behavior of a Concrete Beam without Web Reinforcements Using External Vertical Prestressing Rebars by Xingwei Xue, Xuan Wang, Xudong Hua, Meizhong Wu, Longqing Wu, Zhuang Ma, Junlong Zhou

“…The shear performance of concrete beams is known to be an important mechanical feature; hence, enhanced shear resistance is critical for determining a beam’s performance in terms of security and service life. …”
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Acoustic Emission Characteristics of Galling Behavior from Dry Scratch Tests at Slow Sliding Speed by Timothy M. Devenport, Ping Lu, Bernard F. Rolfe, Michael P. Pereira, James M. Griffin

“…This research has explored feature selection using <i>t</i>-tests, linear regression models, and cluster analysis of the data. …”
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Tunnel Lining Recognition and Thickness Estimation via Optical Image to Radar Image Transfer Learning by Chuan Li, Tong Pu, Nianbiao Cai, Xi Yang, Hao Liu, Lulu Wang

“…The secondary lining of a tunnel is a critical load-bearing component, whose stability and structural integrity are essential for ensuring the overall safety of the tunnel. …”
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Design and Analysis of Helical Cone Coil Heat Exchanger for Low Grade Heat Recovery by Ajay Hundiwale, Lokpriya Gaikwad, Sandeep Joshi

“…Helical cone coils offer significantly enhanced heat transfer characteristics compared to straight tubes. These coils feature a secondary fluid flow running in planes parallel to the primary flow within their helical structure. …”
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A Novel Single Source Bridgeless Nine-Level Switched-Capacitor-Based Quadruple Boost Inverter With Reduced Voltage Stress by Devanand Kumar, Ravi Raushan, Md. Waseem Ahmad, Soham Dutta

“…Additionally, it can operate under various loads and modulation indexes. Moreover, the proposed inverter&#x2019;s leakage current can be almost zero due to the presence of the common ground (CG) feature. …”
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A safety evaluation method and system for a high core wall dam based on construction data by Zicheng Wang, Yingchi Mao, Yaosheng Tan, Qiaoling Shen, Houlei Xu

“…It constructs a comprehensive evaluation subordination feature vector, calculates the degree of match between the current safety evaluation result and historical safety evaluation results, and identifies the matching operational conditions. …”
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User perspectives on AI explainability in aerospace manufacturing: a Card-Sorting study by Sofia Morandini, Federico Fraboni, Mark Hall, Santiago Quintana-Amate, Luca Pietrantoni

“…Qualitative insights emphasized the need for clear communication, intuitive interfaces, and features that reduce cognitive load. The study provides actionable insights for designing AI-based DSSs tailored to the needs of aerospace professionals. …”
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GLS-YOLO: A Lightweight Tea Bud Detection Model in Complex Scenarios by Shanshan Li, Zhe Zhang, Shijun Li

“…The model leverages GhostNetV2 as its backbone network, replacing standard convolutions with depthwise separable convolutions, resulting in substantial reductions in computational load and memory consumption. Additionally, the C2f-LC module is integrated into the improved model, combining cross-covariance fusion with a lightweight contextual attention mechanism to enhance feature recognition and extraction quality. …”
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Star-YOLO: A Lightweight Real-Time Wheat Grain Detection Model for Embedded Deployment by Zhihang Qu, Xiao Liang, Sicheng Liang, Xiumei Guo

“…The model employs StarNet to refine the C3k2 structure, reducing computational complexity without compromising detection accuracy, and integrates the MBConv module into the detection head to boost feature extraction while further minimizing computational load. …”
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