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Titlebook: Data Science; 10th International C Chengzhong Xu,Haiwei Pan,Zeguang Lu Conference proceedings 2024 The Editor(s) (if applicable) and The Au

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51#
發(fā)表于 2025-3-30 11:45:06 | 只看該作者
Study on Compatibility of Vegetable Insulating Oils and Mineral Insulating Oils for Transformer Base vegetable oils through refining and modification processes and have high fire resistance and renewability. However, vegetable insulating oils have high viscosity and poor heat dissipation performance. Hybrid insulating oils can complement single insulating oils by mixing mineral and vegetable insul
52#
發(fā)表于 2025-3-30 13:25:07 | 只看該作者
53#
發(fā)表于 2025-3-30 17:13:35 | 只看該作者
A Distributed Multi-microgrid Intelligent Scheduling for New Power SystemMMG system poses challenges for achieving energy complementarity. Tradition-al MMG scheduling faces limitations in achieving economic scheduling and privacy protection due to the extensive need for energy data. To address the MMG scheduling issue, this paper proposes a novel distributed intelligent
54#
發(fā)表于 2025-3-30 22:09:47 | 只看該作者
55#
發(fā)表于 2025-3-31 01:43:29 | 只看該作者
A Deep Reinforcement Learning Control Strategy with Integrated Droop Control for Parallel DC-DC Buckarious issues in bus voltage control of parallel DC-DC buck converters, a control strategy based on model-free deep reinforcement learning (DRL) combined with droop control is proposed in this paper. Utilizing DRL controllers to independently control multiple DC-DC buck converters, achieving bus vol
56#
發(fā)表于 2025-3-31 08:02:47 | 只看該作者
https://doi.org/10.1007/978-981-97-8743-2Novel methods or tools used in big data and its applications; Applications of Data Science; Big data; A
57#
發(fā)表于 2025-3-31 10:02:05 | 只看該作者
978-981-97-8742-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
58#
發(fā)表于 2025-3-31 15:29:20 | 只看該作者
59#
發(fā)表于 2025-3-31 21:18:31 | 只看該作者
60#
發(fā)表于 2025-3-31 23:48:54 | 只看該作者
Theoretical Approach in Design Methodologyacao‘s economic development, the gray correlation analysis method was used to quantitatively analyze the data of Macao‘s tourism industry from 2010 to 2022, and the correlation degree and variation law between Macao‘s tourism development and various influencing factors were revealed from an empirica
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