Federated Deep Learning for Scalable and Explainable Load Forecasting in Privacy-Conscious Smart Cities by Ibrahim Alzamil

“…These shifts introduce significant complexity into electricity load forecasting, challenging conventional centralized AI models. …”
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Numerical modelling of ductile damage mechanics coupled with an unconventional plasticity model by R. Fincato, S. Tsutsumi

“…In this paper, we combine the approach proposed by Lemaitre with the features of an unconventional plasticity model, the extended subloading surface model, to predict material fatigue even for loading conditions below the yield stress.…”
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Numerical modelling of ductile damage mechanics coupled with an unconventional plasticity model by R. Fincato, S. Tsutsumi

“…In this paper, we combine the approach proposed by Lemaitre with the features of an unconventional plasticity model, the extended subloading surface model, to predict material fatigue even for loading conditions below the yield stress…”
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On the elastic instability of a simple truss structure subjected to a tensile dead load by Alfredo Canelas, Ana I. Abreu

“…This paper presents an interesting example of the latter type, whose main feature is its counterintuitive post-critical behavior. …”
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Dynamic equivalent modelling for active distributed network considering adjustable loads charging characteristics by Jingwen Wang, Jiehui Zheng, Zhigang Li, Qing‐Hua Wu

“…Abstract As more renewable energy generators and adjustable loads such as electric vehicles are being connected to the power grids, load modelling of the distribution network becomes more complicated. …”
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Multivariate Load Forecasting of Integrated Energy System Based on CEEMDAN-CSO-LSTM-MTL by WANG Yongli, LIU Zeqiang, DONG Huanran, LI Dexin, CHEN Xin, GUO Lu, WANG Jiarui

“…Firstly，preprocess the collected raw load data and calculate the actual load value considering system energy loss； Secondly，the maximum information coefficient （MIC） is used to analyze the correlation between multiple loads and between multiple loads and weather factors，and to extract strongly correlated variables of multiple loads； Once again，the strongly correlated variables of multiple loads are substituted into CEEMDAN，and the load data is decomposed into stationary subsequences； Then，the feature sequence is substituted into the LSTM-MTL shared layer and the CSO algorithm is used to optimize the prediction model，achieving collaborative prediction of multiple loads； Finally，the performance of the constructed model was validated using a multivariate load dataset from a chemical park in Jilin City，Jilin Province，China. …”
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Fatigue Load Prediction of Wind Turbine Drive Train Based on CNN-BiLSTM by Xiaodong WANG, Qing LI, Deyi FU, Yingming LIU, Ruojin WANG

“…First, we construct a fatigue load feature database using simulation data from OpenFAST under rated wind speed conditions and above, which is subsequently used for training and testing the model. …”
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Efficient room-level heat load prediction in buildings using spatiotemporal distribution characteristics by Xin Tan, Kaixuan Xu, Yahui Wang, Qihui Yu, Yongheng Yu, Guoxin Sun

“…Room-level heat load prediction is essential for optimizing building energy efficiency and managing intelligent HVAC systems. …”
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Features of power consumption of electrical installations with a DC link by A. V. Petrov, V. E. Martusenko, K. K. Fidiyov, D. I. Sidel'nikov

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Analysis of selected features of application based on monolithic and microservice architecture by Kamil Jaskot, Sławomir Przyłucki

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Empirical and statistical investigation of injection molded Enset–PLA biocomposites’ characteristics in response to impact loading by Abebayehu Abdela Gelgelu, Bart Buffel, Belete Sirahbizu, Frederik Desplentere

“…The statistical analysis result also revealed that fiber ratio is correlated best with the impact strength with feature importance value of 0.5168 followed by plasticizer amount with feature importance value of 0.0484. …”
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FEATURES AND PROSPECTS FOR USE OF WIND-POWERED DRIVE ON AGRICULTURAL AIRPLANE by V. P. Asovsky, A. S. Kuzmenko

“…The typical data on the wind propeller and the wind-powered drive in the spraying process are received; specific features of the dynamics at the wind-powered drive turning-on and the wind propeller rotation at zero load are determined and the data on the wind-propeller blades load imbalance at spraying and transient processes are defined. …”
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FEATURES OF PHYSICAL EDUCATION CLASSES WITH STUDENTS OF SPECIAL MEDICAL GROUPS by Tatyana Denshikova, Hasan Arov, Konstantin Marinchenko, Irina Taran, Alexander Kudrya

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Prediction of Power System Ramping Demand Using Meteorological Features by Kuan Lu, Song Gao, Jun Li, Kang Chen, Chunhao Yu

“…Multidimensional correlation analysis quantifies the relationships among net load characteristics, historical load forecasts, weather predictions, historical prediction errors, and uncertain ramping demands. …”
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Clinical Features and Resistance to Entecavir Monotherapy of Patients with Hepatitis B by Hideo Takayama, Takuya Komura, Takashi Kagaya, Saiho Sugimoto, Noriaki Orita, Yoshiro Asahina, Masashi Nishikawa, Hajime Ohta, Shuichi Kaneko, Masashi Unoura

“…We also assessed the clinical features of 15 patients with resistance to ETV (mean, 51.0 ± 27.4 weeks). …”
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Calculation Features of the Combined Schemes of Cooling of Refrigeration Units Condensers by Fot A. N.

“…For influence assessment of this feature the numerical analysis on the example of the refrigeration units of the freon refrigeration units is carried out. …”
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The features of functional state of masters athletes in training and competitive activities by O. Ye. Dorofieieva, K. S. Yarymbash

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FEATURES OF NK-CELL CONTENTS IN PATIENTS WITH CHRONIC HEPATITIS C by M. S. Selkova, O. V. Nikitina, V. A. Mikhailova, E. V. Esaulenko, A.V. Seliutin

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Modern researches of personality-psychological features in patients with somatoform disorders by V. V. Vasilyev, A. I. Mukhametova

“…The scientific review is devoted to the actual problem of personality-psychological features of patients with somatoform disorders (SFD). …”
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CLINICAL FEATURES CYTOMEGALOVIRUS INFECTION IN PREGNANT HIV-INFECTED WOMEN by Y. G. Shakhverdyan

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