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Titlebook: Recent Advances in Sustainable Energy and Intelligent Systems; 7th International Co Kang Li,Tim Coombs,Zhile Yang Conference proceedings 20

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樓主: Kennedy
31#
發(fā)表于 2025-3-26 21:00:53 | 只看該作者
32#
發(fā)表于 2025-3-27 05:11:13 | 只看該作者
33#
發(fā)表于 2025-3-27 09:19:30 | 只看該作者
A Novel Optimization Algorithm for Solving Parameters Identification of Battery Modeliversity, and improve the quality of the solution. The 16 A discharging experiment is performed in BESS. The parameters are identified according to the second-order RC equivalent circuit model. The results indicate that the IJAYA algorithm can accurately and effectively extract parameters of the battery model.
34#
發(fā)表于 2025-3-27 12:59:36 | 只看該作者
Steady-State Modeling and Power Flow Calculation of Integrated Electric-Gas Coupling Energy System Bsure, and the Newton method is used to solve the power flow of the electric-gas coupling integrated energy system. Finally, the feasibility and accuracy of the proposed method are verified in an electric-gas coupling system composed of the IEEE 14-node distribution system and 14-node natural gas system.
35#
發(fā)表于 2025-3-27 15:56:54 | 只看該作者
Multi-objective Optimization of Electric Vehicle and Unit Commitment Considering Users Satisfaction:ved MOEA/D algorithm is comprehensive optimal in the multi-objective function, which shows the effectiveness of the improved algorithm. Moreover, the four objectives are comprehensively considered to balance the multiple factors in the application.
36#
發(fā)表于 2025-3-27 18:19:18 | 只看該作者
37#
發(fā)表于 2025-3-27 22:59:34 | 只看該作者
Review of Machine Learning for Short Term Load Forecastingon. Recurrent Neural Network, Long Short-Term Memory, Gated Recurrent Unit, Convolutional Neural Network and variant of residual network were introduced to reveal the improved performance of comprehensive methods.
38#
發(fā)表于 2025-3-28 02:05:00 | 只看該作者
39#
發(fā)表于 2025-3-28 06:47:23 | 只看該作者
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發(fā)表于 2025-3-28 13:31:22 | 只看該作者
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