Optimal Scheduling Model of Load Aggregator on Demand Side Under Demand Response by Ming Yu, Wenyao Sun, Yi Zhao, Xinmei Wang, Jiyu Du, Xiaoyi Qian, Jiaxuan Sun

“…To enhance the power market's stability and dependability, a demand‐side resource aggregation response optimization model is designed considering the load adjustment ability of users. First of all, a demand‐side response architecture covering various forms of user participation is established, and the demand response mechanism of users in different forms of participation under this architecture is analyzed. …”
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Design of Acoustic Tubes Array and Application to Measuring Acoustic Loads in Supersonic Airflow by Long WEI, Min LI, Qiang FU, Yue FAN, Debin YANG

“…In the acoustic fatigue experiment for hypersonic vehicle in simulated harsh service environment on ground, acoustic loads on the surface of test pieces of the vehicle need to be measured. …”
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TFTformer: A novel transformer based model for short-term load forecasting by Ahmad Ahmad, Xun Xiao, Huadong Mo, Daoyi Dong

“…Electrical load forecasting is essential for the efficient operation and planning of power systems. …”
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Photovoltaic Hosting Capacity Assessment of Distribution Networks Considering Source–Load Uncertainty by Chao Chen, Weifeng Peng, Cheng Xie, Shufeng Dong, Yibo Hua

“…In addition, a PV power scenario generation method based on the Wasserstein generative adversarial network with gradient penalty (WGAN-GP) is proposed, integrating physical-data dual-driven strategies to enhance the physical consistency of generated data, while incorporating a target-driven weighted sampling mechanism to improve its learning ability for key features. Case studies verify that the proposed method demonstrates strong adaptability and accuracy under varying meteorological and load conditions.…”
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Non-intrusive load monitoring based on time-enhanced multidimensional feature visualization by Tie Chen, Yimin Yuan, Jiaqi Gao, Shinan Guo, Pingping Yang

“…Furthermore, utilizing transfer learning, the model trained and tested on the PLAID dataset was further tested on the WHITED dataset to increase the model’s universality and generalization ability, showing significant effects in identifying loads with similar V–I trajectories and multiple states.…”
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THE PARACHUTE SYSTEM WITH THE ELASTIC LINK AND THE LOAD DIVIDED INTO TWO PARTS AS A TANDEM by S. V. Zhurin

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FBiLSTM-Attention short-term load forecasting based on fuzzy logic by Yan ZHANG, Zepeng KANG, Xiaozhi GAO, Nan YANG, Zhaolei WANG

“…The proposed model can effectively improve the ability to handle uncertain data, providing reference for load forecasting study.…”
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Load Model Construction and Parameter Identification Method of Inverter-Interfaced Distributed Generator by Jie LI, Jie WANG, Wenteng LIANG, Lushan SHI, Bolun WANG, Yufeng XIONG, Liangju ZHANG, Xia ZHOU

“…[Conclusion] The modeling error and parameter identification results show that the proposed unified model has good self-describing ability and parameter stability.…”
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Coordinated multi-level scheduling method considering uncertainty of renewable energy and load by Bingbing Song, Kangping Qin, Min Wen, Moyan Zhu, Kaiming Zou, Guangyu He

“…At the regional grid level, a unit dispatch model for unmet load peak shaving is developed. We introduce the concept of unmet load and, based on peak-valley weighting, propose a multi-province load peak shaving method, improving the approach to unmet load considerations. …”
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SIMULATION OF COMPUTER NETWORK LOAD PARAMETERS OVER A GIVEN PERIOD OF TIME by Yurii Davydovskyi, Oleksandr Reva, Olesia Artiukh, Viktor Kosenko

“…The list of basic network characteristics that should be taken into account when modeling network load is justified. Test bench for model work is described. …”
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The Effects of Cognitive Load on Pupil Dilation in Volleyball Players: An Eye-Tracking Study by Tugba Nalcacigil, Gülcin Güler, Semra Bıdıl, Nuran Küçük, Tugce Toktay, Deniz Simsek

“…This study investigates the effects of cognitive load on pupil dilation and reaction time in competitive volleyball athletes. …”
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Consensus-Based Load Frequency Control of a Multi-Area Power System by Ravi Patel, Chathura Wanigasekara, Akshya Swain, Abhisek Ukil

“…The integration of renewable energy sources into modern power grids presents challenges for load frequency control (LFC) due to the increased system dynamics and uncertainties introduced by variable generation sources. …”
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DR potential probabilistic forecasting model of load aggregators based on ensemble learning by YEERSEN Sailike, YANG Xi, LI Meiyi, LI Na, GE Xinxin, WANG Fei

“…Aiming at the shortcomings of generalization and reliability of a single-point forecasting model, this paper proposes an online DR potential probabilistic forecasting model of load aggregators based on ensemble learning, which can effectively improve the accuracy and generalization ability of the probabilistic forecasting model. …”
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Study of motor load regulation training with visual feedback in patients with diabetic polyneuropathy by N. D. Babanov, D. V. Frolov, E. V. Krukov, E. N. Panova, O. V. Kubryak

“…The accepted significance level α = 0.05.CONCLUSIONS: The depth of feedback in motor-cognitive tasks with visual feedback is a key characteristic that affects performance. The ability to increase the depth of feedback in the range of about 35; from conditionally «normal», can be useful for ensuring differentiation of loads during motor rehabilitation of patients in order to increase the effectiveness of training. …”
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A Supervised Scene Adaptive Model for Identifying Impact Load with Few Samples by Shengbao Bai, Ji Yao, Chenhui Huang, Yuan Tian, Zhigang Xiong, Gang Chen, Hu Sun

“…One of the current challenges in system-level multi-structure monitoring is how to construct deep learning models with a small number or even zero impact training samples, and improve the models’ ability to migrate between different structures. To address this challenge, a novel method for impact load identification using only a small number of samples, based on a supervised scene adaptive model, is proposed. …”
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Vibrational analysis of faulty deep-groove ball bearing under radial load by Kiran More, Pranoti Honawadajkar, Pranoti Honawadajkar, Sachin Kandharkar, Bharat Tidke, Rahul B. Pawar, Mangesh Shende, Rajesh Kherde, Ganesh Kawade, Sachin Patil

“…IntroductionDeep-groove ball bearings are widely used in industrial applications due to their ability to support radial and axial loads simultaneously. …”
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Numerical Simulation of Tandem Shaped Charge Penetrating Armored Target under Explosive Loading by Jianping Yin, Conghui Duan, Yangyang Han, Zhijun Wang, Jie Chen

“…The front-stage modified PTFE jet and the rear-stage main jet are not affected by the explosion loading before penetrating the main armor. The experimental results show that the double-material tandem shaped charge overcomes the shortcoming of the influence of the front-stage explosion, and the penetration depth of the main armor reaches 703 mm, which is 14.3% higher than the penetration ability of the double-copper tandem shaped charge, which is basically consistent with the numerical simulation results. …”
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Numerosity Perception and Perceptual Load: Exploring Sex Differences Through Eye-Tracking by Julia Bend, Anssi Öörni

“…These findings suggest that perceptual load, rather than visual or spatial abilities, significantly influences numerosity estimation. …”
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The Anisotropy Permeability Evolution and Deformation Behavior of Raw Coal under Cyclic Loading Conditions by Hanhua Xu

“…Stress sensitivity of the vertical intrinsic permeability is greater than that of the horizontal, and the ability of the vertical internal structure to resist deformation induced by an external load is weaker. …”
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Research on Knee Joint Load and Influencing Factors of Typical Tai Chi Movements by Cenyi Wang, Ganfeng Yang, Haoping Yang, Changde Chen, Henrui Zhang, Kailong Wang, Aming Lu

“…Tai chi is recognized worldwide for its rehabilitation abilities and healthcare benefits. However, in recent years, some movements associated with tai chi have been shown to damage the lower limb joints. …”
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