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Titlebook: Recent Featured Applications of Artificial Intelligence Methods. LSMS 2020 and ICSEE 2020 Workshops; Workshops of the 6th Minrui Fei,Kang L

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11#
發(fā)表于 2025-3-23 12:29:27 | 只看該作者
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發(fā)表于 2025-3-23 17:51:42 | 只看該作者
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發(fā)表于 2025-3-23 20:41:39 | 只看該作者
Operation and Dispatch of Distribution Network with Seawater Desalination Considering Source-Grid-Lof the distribution network. The essence of the source-grid-load interaction with seawater desalination is to maximize energy utilization in the distribution network. The desalination load is combined with distributed renewable energy or the grid to operate in a coordinated manner to maximize the ren
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發(fā)表于 2025-3-23 23:25:56 | 只看該作者
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發(fā)表于 2025-3-24 02:40:40 | 只看該作者
An Electric Power Emergency Repair System: Structure, Navigation, and Software Designnt of the power emergency repair system from three aspects: 1) the structure of an improved electric power emergency repair system is proposed; 2) the navigation method for the repairing is established based on the application of BPNN-Dijkstra algorithm; 3) the software structure of the electric pow
16#
發(fā)表于 2025-3-24 06:50:59 | 只看該作者
Research on Information Interaction Technology Between Multi-service Application Systems of Power Gr95598 business support system. Through the analysis of information interaction characteristics and business information exchange topology among the three platforms, the business requirements of supporting the other two platforms with power information collection system are summarized, and the issues
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發(fā)表于 2025-3-24 11:34:06 | 只看該作者
18#
發(fā)表于 2025-3-24 16:38:47 | 只看該作者
Research on Home Energy Optimization Strategy Based on Micro-sized Combined Heat and Poweraper, a household energy optimization strategy with micro cogeneration is proposed. Firstly, the composition of household energy microgrid and the operation mode of mCHP are introduced. Then, the load and user comfort of household energy microgrid are modeled. Finally, the optimal scheduling model o
19#
發(fā)表于 2025-3-24 22:48:28 | 只看該作者
20#
發(fā)表于 2025-3-25 00:32:56 | 只看該作者
Application of Logistic Regression in Identifying Power Empty Nested Usersod to identify empty-nested users. In the paper, based on daily energy consumption of more than 3,000 electric power users in one year, a suitable classification feature quantity is selected and preprocessed. Logistic regression classification method is used for the second classification and the con
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