Features of Modeling the Operating Modes of Outdoor Lighting Lines by V. N. Kalechyts

“…The obtained data can be used to select the cross-sectional area of conductor cores and forecast the power consumption of outdoor lighting, taking into account the specific features of light flux regulation (dimming). As a rule, outdoor lighting lines are connected to one power point. …”
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Features of Designing a Web-Service of Didactic Materials by Yulya Khritonenko, Sergey Kozlov

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Features of calcium hexaaluminate formation in alumina-zirconia ceramics by Nina Cherkasova, Kristina Antropova, Ruslan Kuzmin, Kemal Emurlaev, Ivanna Kuchumova, Nomina Burkhinova, Yulia Zobova

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Novel Investigation of Influence of Torsional Load on Unbalance Fault Indicators for Induction Motors by Amir R. Askari, Len Gelman, Andrew D. Ball

“…The important novel outcome is that, by conducting numerical analysis and comprehensive experimental trials with a belt conveyor system under various constant loading conditions, the load-independency of the fundamental rotating harmonic intensity as well as novel speed-invariant unbalance feature are justified.…”
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Acute pericarditis: features of diagnosis and treatment in real practice by K. M. Beseliia, A. V. Alabushev, S. А. Koroleva, L. L. Opieva, F. A. Eldzharkieva, M. S. Dolgaya, А. R. Gainutdinova, D. G. Gognieva

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Forecasting very short-term power load with hybrid interpretable deep models by Zhihe Yang, Jiandun Li, Chang Liu, Haitao Wang

“…Very Short-Term power Load Forecasting (VSTLF) plays a key role in electricity planning and operational transactions. …”
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Full Data-Processing Power Load Forecasting Based on Vertical Federated Learning by Zhengxiong Mao, Hui Li, Zuyuan Huang, Yuan Tian, Peng Zhao, Yanan Li

“…Power load forecasting (PLF) has a positive impact on the stability of power systems and can reduce the cost of power generation enterprises. …”
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Innovative Investigation of the Influence of a Variable Load on Unbalance Fault Diagnosis Technologies by Amir R. Askari, Len Gelman, Daryl Hickey, Russell King, Mehdi Behzad, Panchanand Jha

“…Taking the short-time chirp Fourier transform from the acceleration signal, which is determined from the numerical solutions, the influence of variable loading on the magnitude of the fundamental rotational harmonic—a diagnostic feature for conventional unbalance diagnosis technology—as well as its speed-invariant version for novel unbalance diagnosis technology is assessed. …”
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Short-Term Power Load Prediction of VMD-LSTM Based on ISSA Optimization by Shuai Wu, Huafeng Cai

“…Next, the decomposed IMFs and meteorological covariates are reconstructed into feature vectors, which are then input into the LSTM network for component-wise forecasting, and, finally, the prediction results of each component are reconstructed to obtain the final power load prediction result. …”
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A Lightweight Load Identification Model Update Method Based on Channel Attention by Yong Gao, Junwei Zhang, Mian Wang, Zhukui Tan, Minhang Liang

“…In this study, a load identification method based on the channel attention mechanism is proposed for the lightweight model update problem in the electrical load identification task. …”
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Electricity theft detection in integrated energy systems considering multi-energy loads by Wenlong Liao, Dechang Yang, Leijiao Ge, Yixiong Jia, Zhe Yang

“…After that, multi-energy loads are projected into graphs where adjacency matrices represent their correlation and feature matrices denote their consumption readings. …”
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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

“…Aiming at the problem of high uncertainty in power load data due to various factors, a fuzzy logic based FBiLSTM Attention short-term load forecasting model was proposed by combining the uncertainty of load data with deep learning algorithms to improve the accuracy of load forecasting. …”
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Design and test of high power X-band dry load for SXFEL and SHINE by GAO Zihe, TAN Jianhao, WANG Cheng, HUANG Xiaoxia, FANG Wencheng

“…Finally, the loads were manufactured and their RF parameters were measured using a vector network analyzer both in the clamping state and after welding.ResultsThe two X-band loads feature a waveguide structure with periodic grooves, and are operated at 11.424 GHz and 11.988 GHz respectively. …”
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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

“…Firstly, the multivariate influencing features of the DR potential of load aggregators are extracted, and the support vector machine-based recursive feature elimination (SVM-RFE) method is used to select features. …”
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Miniaturized Multiband Bandpass Filters Based on a Single Multimode Resonator Loading Branches by Jie Luo, Kaibo Shi, Shanshan Gao

“…In this paper, the operating mechanism of proposed bandpass filters with a single multimode resonator loaded with branches is introduced. Based on the design procedure, the center frequencies of the proposed bandpass filters can be controlled due to the design freedom. …”
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Real-Time Recognition of Loading Cycles’ Process Based on Electric Mining Shovel Monitoring by Bonan Wang, Yun Duan, Wei Xu

“…An automatic recognition algorithm based on the feature extraction of working parameters to recognize each state in the loading cycle process of an electric mining shovel was proposed. …”
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Semantic segmentation of mix loading at asphalt mixing plant based on improved U-Net by Li Dongli, Cheng Gaoli, Guo Tao, Xia Xiaohua

“…Aiming at the existing asphalt mixing plant mixture loading semantic segmentation methods with low Mean Intersection over Union(mIoU) values and slow detection speed, a lightweight network RCS-UNet is proposed for semantic segmentation of asphalt mixing plant mixture loading state.Firstly, residual connections are integrated into the U-Net network to mitigate the gradient vanishing issue, promoting stability during training, enhancing convergence speed, and improving generalization abilities. …”
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The Effect of High Loading Rate on the Behaviour and Mechanical Properties of Coal-Rock Combined Body by Fengqiang Gong, Hao Ye, Yong Luo

“…The stress-strain curves, dynamic peak stress and strain, elastic modulus, and energy distribution law of coal-rock combined body under different loading rates were analyzed and discussed. The results show that the dynamic stress-strain curves of coal-rock combined body have a double-peak feature under high loading rate range, which can be divided into the initial bearing stage, the bearing decline stage, the bearing enhance stage, and the unstable stage. …”
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A Hybrid Deep Learning-Based Load Forecasting Model for Logical Range by Hao Chen, Zheng Dang

“…Through the integration of spatial–temporal features, GCSG enables accurate load forecasting, supporting more efficient resource scheduling. …”
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Load simulation of a semi-trailer of the mobile transport and overloading rope complex by Tarichko V.I., Shalupina P.I.

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